|
|
Venues (Conferences, Journals, ...)
|
|
GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 4 occurrences of 4 keywords
|
|
|
Results
Found 531 publication records. Showing 530 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
123 | Yuan Wang, Guy Carrault, Alain Beuchee, Lotfi Senhadji, Huazhong Shu |
HRV complexity as a diagnostic tool for late onset sepsis in sick premature infants. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BIBE ![In: Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2008, October 8-10, 2008, Athens, Greece, pp. 1-6, 2008, IEEE, 978-1-4244-2845-8. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
68 | Kate Honeyford, Graham S. Cooke, Anne Kinderlerer, Elizabeth Williamson, Mark Gilchrist, Alison H. Holmes, The Sepsis Big Room, Ben Glampson, Abdulrahim Mulla, Ceire Costelloe |
Evaluating a digital sepsis alert in a London multisite hospital network: a natural experiment using electronic health record data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Am. Medical Informatics Assoc. ![In: J. Am. Medical Informatics Assoc. 27(2), pp. 274-283, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
63 | Wayne W. Wakeland, Louis M. Macovsky, Gary An |
A hybrid simulation model for studying acute inflammatory response. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SpringSim (2) ![In: Proceedings of the 2007 Spring Simulation Multiconference, SpringSim 2007, Norfolk, Virginia, USA, March 25-29, 2007, Volume 2, pp. 39-46, 2007, SCS/ACM, 1-56555-313-6. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP BibTeX RDF |
inflammation, sepsis, system dynamics, agent model, hybrid model, MOF |
53 | Olufemi King, Mahdi Mahfouf, Jonathan J. Ross, Mouloud Azzedine Denaï |
Physiological Modelling and Multivariable SOFLC of Drug Administration for Critically III Patients. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FUZZ-IEEE ![In: FUZZ-IEEE 2007, IEEE International Conference on Fuzzy Systems, Imperial College, London, UK, 23-26 July, 2007, Proceedings, pp. 1-6, 2007, IEEE. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
50 | Robert C. Amland, Bharat B. Sutariya |
Quick Sequential [Sepsis-related] Organ Failure Assessment (qSOFA) and St. John Sepsis Surveillance Agent to Detect Patients At-Risk of Sepsis: An Observational Cohort Study. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AMIA ![In: AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 4-8, 2017, 2017, AMIA. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
|
34 | A. Safiya Parvin, B. Saleena |
Analysis of machine learning and deep learning prediction models for sepsis and neonatal sepsis: A systematic review. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICT Express ![In: ICT Express 9(6), pp. 1215-1225, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
34 | Bairui Zhang, Qianlong Cai, Junyang Ding, Kaitao Yuan |
Factors that increase the mortality of sepsis and personalized medication for patients with sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISAIMS ![In: Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, ISAIMS 2023, Chengdu, China, October 20-22, 2023, pp. 1261-1271, 2023, ACM. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
34 | Ayesha Williams-Bhatti, David Carruthers, Andrew Sean Wilson |
SEPSIS COLLAB: A Virtual Reality Training Simulation For Sepsis Treatment. ![Search on Bibsonomy](Pics/bibsonomy.png) |
VRW ![In: IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VR Workshops 2023, Shanghai, China, March 25-29, 2023, pp. 132-135, 2023, IEEE, 979-8-3503-4839-2. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
34 | Umut Kaya |
Sepsis hastalığının derin öğrenme yöntemiyle tahmini (Sepsis disease prediction by deep learning) ![Search on Bibsonomy](Pics/bibsonomy.png) |
|
2022 |
RDF |
|
34 | Nazmus Sakib, Shiyu Tian, Md Munirul Haque, Rumi Ahmed Khan, Sheikh Iqbal Ahamed |
SepINav (Sepsis ICU Navigator): A data-driven software tool for sepsis monitoring and intervention using Bayesian Online Change Point Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SoftwareX ![In: SoftwareX 14, pp. 100689, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
34 | Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, Carol Gu, Jonathan Roberts, Sidney Le, Joseph Slote, Nicholas Saber, Emily Pellegrini, Abigail Green-Saxena, Jana L. Hoffman, Ritankar Das |
Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Medical Informatics Decis. Mak. ![In: BMC Medical Informatics Decis. Mak. 20(1), pp. 276, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
34 | Jacquelyn D. Parente, J. Geoffrey Chase, Knut Moeller, Geoffrey M. Shaw |
Quantifying misclassification and bias errors due to hierarchical sepsis scores in real-time sepsis diagnosis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Biomed. Signal Process. Control. ![In: Biomed. Signal Process. Control. 62, pp. 102116, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
34 | Gavin Tsang, Xianghua Xie |
Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR ![In: 25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021, pp. 8671-8678, 2020, IEEE, 978-1-7281-8808-9. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
34 | Amirhossein Kiani, Chris Wang, Angela Xu |
Sepsis World Model: A MIMIC-based OpenAI Gym "World Model" Simulator for Sepsis Treatment. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1912.07127, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
34 | Soodabeh Sarafrazi, Rohini S. Choudhari, Chiral Mehta, Himanshi K. Mehta, Omid K. Japalaghi, Jie Han, Kinjal A Mehta, Hyunyoung Han, Patricia Francis-Lyon |
Cracking the "Sepsis" Code: Assessing Time Series Nature of EHR Data, and Using Deep Learning for Early Sepsis Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CinC ![In: 46th Computing in Cardiology, CinC 2019, Singapore, September 8-11, 2019, pp. 1-4, 2019, IEEE, 978-1-7281-5942-3. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
34 | Michael Rothman, Kathy Belk, Robert Fogerty |
A Visual Consideration of Sepsis Deaths and Non-sepsis Deaths with a Finely Graduated Measure of Patient Acuity: Should We Just Focus on Who is Sick? ![Search on Bibsonomy](Pics/bibsonomy.png) |
AMIA ![In: AMIA 2019, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 16-20, 2019, 2019, AMIA. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
34 | Mahita Razanakolona |
Effets anti-inflammatoires de l'inhibiteur dépendant de la protéine Z : intérêt potentiel comme traitement adjuvant du sepsis. (Anti-inflammatory effects of Protein Z-dependent protease inhibitor (ZPI) : potential benefit on sepsis adjuvant therapy). ![Search on Bibsonomy](Pics/bibsonomy.png) |
|
2018 |
RDF |
|
34 | Fatanah M. Suhaimi, J. Geoffrey Chase, Christopher G. Pretty, Geoffrey M. Shaw, Normy N. Razak, Ummu K. Jamaludin |
Insulin sensitivity and sepsis score: A correlation between model-based metric and sepsis scoring system in critically ill patients. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Biomed. Signal Process. Control. ![In: Biomed. Signal Process. Control. 32, pp. 112-123, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
34 | Cláudia Sofia Ribeiro, Micaela Monteiro, Jannicke Baalsrud Hauge, João Madeiras Pereira, Tiago Antunes |
Sepsis Fast Track: A simulation game for Clinical education based on the Sepsis Fast Track protocol. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SeGAH ![In: 2016 IEEE International Conference on Serious Games and Applications for Health, SeGAH 2016, Orlando, FL, USA, May 11-13, 2016, pp. 1-8, 2016, IEEE Computer Society, 978-1-5090-2210-6. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
34 | Nourtan Abdeltawab, Lu Lu 0004, Robert W. Williams, Malak Kotb |
Meta-analysis of genes within QTLs of group A streptococcal sepsis and their expression QTLs reveal pathways modulating host differential response to streptococcal sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Bioinform. ![In: BMC Bioinform. 13(S-12), pp. A6, 2012. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP DOI BibTeX RDF |
|
34 | Manfred Weiss, Markus Huber-Lang, Michael Taenzer, Karl Traeger, Juergen Altherr, Martina Kron, Birgit Hay, Marion Schneider |
Different patient case mix by applying the 2003 SCCM/ESICM/ACCP/ATS/SIS sepsis definitions instead of the 1992 ACCP/SCCM sepsis definitions in surgical patients: a retrospective observational study. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Medical Informatics Decis. Mak. ![In: BMC Medical Informatics Decis. Mak. 9, pp. 25, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
26 | Linda Peelen, Michel C. A. Klein, Stefan Schlobach, Nicolette de Keizer, Niels Peek |
Analyzing Differences in Operational Disease Definitions Using Ontological Modeling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AIME ![In: Artificial Intelligence in Medicine, 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings, pp. 297-302, 2007, Springer, 978-3-540-73598-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
17 | Merve Apalak, Kamran Kiasaleh |
Advancing Early Detection of Sepsis With Temporal Convolutional Networks Using ECG Signals. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 12, pp. 3417-3427, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Jiang Liu, Yihao Xie, Xin Shu, Yuwen Chen, Yizhu Sun, Kunhua Zhong, Hao Liang, Yujie Li, Chunyong Yang, Yan Han, Yuwei Zou, Ziting Zhuyi, Jiahao Huang, Junhong Li, Xiaoyan Hu, Bin Yi |
Value function assessment to different RL algorithms for heparin treatment policy of patients with sepsis in ICU. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Artif. Intell. Medicine ![In: Artif. Intell. Medicine 147, pp. 102726, January 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Xue Feng, Siyi Zhu, Yanfei Shen, Huaiping Zhu, Molei Yan, Guolong Cai, Gangmin Ning |
Multi-organ spatiotemporal information aware model for sepsis mortality prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Artif. Intell. Medicine ![In: Artif. Intell. Medicine 147, pp. 102746, January 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Fahim Mohammad, Lakshmi Arunachalam, Samanway Sadhu, Boudewijn Aasman, Shweta Garg 0005, Adil Ahmed, Silvie Colman, Meena Arunachalam, Sudhir Kulkarni, Parsa Mirhaji |
Early prediction of onset of sepsis in Clinical Setting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2402.03486, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal |
Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2403.07309, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Yinghao Luo, Yahui Peng, Yujia Tang, Pengfei Huang, Qianqian Zhang, Chunying Wang, Weiting Zhang, Jing Zhou, Longyu Liang, YuXin Zhang, Kaijiang Yu, Changsong Wang |
Effect of early serum phosphate disorder on in-hospital and 28-day mortality in sepsis patients: a retrospective study based on MIMIC-IV database. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Medical Informatics Decis. Mak. ![In: BMC Medical Informatics Decis. Mak. 24(1), pp. 59, December 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Aaron Boussina, Supreeth P. Shashikumar, Atul Malhotra, Robert L. Owens, Robert El-Kareh, Christopher A. Longhurst, Kimberly Quintero, Allison Donahue, Theodore C. Chan, Shamim Nemati, Gabriel Wardi |
Impact of a deep learning sepsis prediction model on quality of care and survival. ![Search on Bibsonomy](Pics/bibsonomy.png) |
npj Digit. Medicine ![In: npj Digit. Medicine 7(1), 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Camelia Maleki, Frederik Gailly |
Exploring the Power of Triple Crown Process Modeling in Healthcare: Sepsis Case. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BIOSTEC (2) ![In: Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2024, Volume 2, Rome, Italy, February 21-23, 2024., pp. 516-528, 2024, SCITEPRESS, 978-989-758-688-0. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Mustafa Kemal Arslantas, Tunç Asuroglu, Reyhan Arslantas, Emin Pashazade, Pelin Corman Dincer, Gulbin Tore Altun, Alper Kararmaz |
Using Machine Learning Methods to Predict the Lactate Trend of Sepsis Patients in the ICU. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NCDHWS (2) ![In: Digital Health and Wireless Solutions - First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part II, pp. 3-16, 2024, Springer, 978-3-031-59090-0. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Melissa Y. Yan, Lise Tuset Gustad, Lise Husby Høvik, Øystein Nytrø |
Terminology and ontology development for semantic annotation: A use case on sepsis and adverse events. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Semantic Web ![In: Semantic Web 14(5), pp. 811-871, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Bilal Yaseen Al-Mualemi, Lu Lu 0011 |
Characterization of heart rate variability and oxygen saturation in sepsis patients. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Expert Syst. J. Knowl. Eng. ![In: Expert Syst. J. Knowl. Eng. 40(4), May 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Pedro Martínez-Paz, Javier Gomez-Pilar, Marta Martín-Fernández, Francisco C. Ceballos, Esther Gómez-Sánchez, Roberto Hornero, Eduardo Tamayo |
Gene Co-Expression Networks Offer New Perspectives on Sepsis Pathophysiology. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE ACM Trans. Comput. Biol. Bioinform. ![In: IEEE ACM Trans. Comput. Biol. Bioinform. 20(6), pp. 3660-3668, November - December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Zhong-Hua Chen, Wen-Yuan Zhang, Hui Ye, Yu-Qian Guo, Kai Zhang, Xiang-Ming Fang |
A signature of immune-related genes correlating with clinical prognosis and immune microenvironment in sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Bioinform. ![In: BMC Bioinform. 24(1), pp. 20, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Weiwei Qian, Jian Zhou, Songtao Shou |
Exploration of m6A methylation regulators as epigenetic targets for immunotherapy in advanced sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Bioinform. ![In: BMC Bioinform. 24(1), pp. 257, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Ahmed S. Alfakeeh, Mhd Saeed Sharif, Abin Daniel Zorto, Thiago Pillonetto |
Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Comput. Intell. Soft Comput. ![In: Appl. Comput. Intell. Soft Comput. 2023, pp. 8819052:1-8819052:12, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Anton H. van der Vegt, Ian A Scott, Krishna Dermawan, Rudolf J. Schnetler, Vikrant R. Kalke, Paul J. Lane |
Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Am. Medical Informatics Assoc. ![In: J. Am. Medical Informatics Assoc. 30(7), pp. 1349-1361, June 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Ali Jazayeri, Christopher C. Yang, Muge Capan |
Frequent temporal patterns of physiological and biological biomarkers and their evolution in sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Artif. Intell. Medicine ![In: Artif. Intell. Medicine 143, pp. 102576, September 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Keyvan Rahmani, Rahul Thapa, Pei-Ling Tsou, Satish Casie Chetty, Gina Barnes, Carson K. Lam, Chak Foon Tso |
Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Medical Informatics ![In: Int. J. Medical Informatics 173, pp. 104930, May 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Idris Adjerid, Mehmet U. S. Ayvaci, Özalp Özer |
Value of Algorithm-Enabled Process Innovation: The Case of Sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Manuf. Serv. Oper. Manag. ![In: Manuf. Serv. Oper. Manag. 25(4), pp. 1545-1566, July 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Ruoqi Liu, Katherine M. Hunold, Jeffrey M. Caterino, Ping Zhang 0016 |
Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Nat. Mac. Intell. ![In: Nat. Mac. Intell. 5(4), pp. 421-431, April 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Anna Wong, Shu Ge, Nassim Oufattole, Adam Dejl, Megan Su, Ardavan Saeedi, Li-Wei H. Lehman |
A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2311.09566, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Alireza Bakhshi, Erfan Hassannayebi, Amir Hossein Sadeghi |
Optimizing Sepsis Care through Heuristics Methods in Process Mining: A Trajectory Analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2303.14328, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Mozhgan Salimiparsa, Surajsinh Parmar, San Lee, Choongmin Kim, Yonghwan Kim, Jang Yong Kim |
Investigating Poor Performance Regions of Black Boxes: LIME-based Exploration in Sepsis Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2306.12507, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Anubhav Bhatti, Naveen Thangavelu, Marium Hassan, Choongmin Kim, San Lee, Yonghwan Kim, Jang Yong Kim |
Interpreting Forecasted Vital Signs Using N-BEATS in Sepsis Patients. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2306.14016, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Anubhav Bhatti, Yuwei Liu, Chen Dan 0005, Bingjie Shen, San Lee, Yonghwan Kim, Jang Yong Kim |
Vital Sign Forecasting for Sepsis Patients in ICUs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2311.04770, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Yuhe Ke, Matilda Swee Sun Tang, Celestine Jia Ling Loh, Hairil Rizal Abdullah, Nicholas Brian Shannon |
Cluster trajectory of SOFA score in predicting mortality in sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2311.17066, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Anku Rani, Dwip Dalal, Shreya Gautam, Pankaj Gupta, Vinija Jain, Aman Chadha, Amit P. Sheth, Amitava Das |
SEPSIS: I Can Catch Your Lies - A New Paradigm for Deception Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2312.00292, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Kevin Ewig, Xiangwen Lin, Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu |
Multi-Subset Approach to Early Sepsis Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2304.06384, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Surajsinh Parmar, Tao Shan, San Lee, Yonghwan Kim, Jang Yong Kim |
Extending Machine Learning-Based Early Sepsis Detection to Different Demographics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2311.04325, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Mehak Arora, Hassan Mortagy, Nathan Dwarshius, Swati Gupta 0001, Andre L. Holder, Rishikesan Kamaleswaran |
Mixed-Integer Projections for Automated Data Correction of EMRs Improve Predictions of Sepsis among Hospitalized Patients. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2308.10781, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Ruiqing Ding, Fangjie Rong, Xiao Han 0001, Leye Wang |
Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2302.05702, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu |
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2304.12737, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu 0003, Bingsheng Yao, Melanie Tory, Lace M. K. Padilla, Jeffrey M. Caterino, Ping Zhang 0016, Dakuo Wang |
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2309.12368, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Kavita Joshi, Shradheya R. R. Gupta, Shubham Verma, Rakesh Sharma, Sameer Qureshi, Mansoor Ali Syed, Vandana Nunia |
Virtual screening of plant phytochemicals to discover potent Janus kinase-1 inhibitors against severe COVID-19 and sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Comput. Biol. Drug Des. ![In: Int. J. Comput. Biol. Drug Des. 15(5), pp. 391-411, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Priti Shaw, Kaustubh Pachpor, Suresh Sankaranarayanan |
Explainable AI Enabled Infant Mortality Prediction Based on Neonatal Sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Syst. Sci. Eng. ![In: Comput. Syst. Sci. Eng. 44(1), pp. 311-325, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Yan Zhang, Weiwei Xu, Ping Yang, An Zhang 0013 |
Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Medical Informatics Decis. Mak. ![In: BMC Medical Informatics Decis. Mak. 23(1), pp. 283, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Tianlai Lin, Xinjue Zhang, Jianbing Gong, Rundong Tan, Weiming Li, Lijun Wang, Yingxia Pan, Xiang Xu, Junhui Gao |
A dosing strategy model of deep deterministic policy gradient algorithm for sepsis patients. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Medical Informatics Decis. Mak. ![In: BMC Medical Informatics Decis. Mak. 23(1), pp. 81, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Qiong Gu, Shucong Yang, DanTing Fei, Yuting Lu, Huijie Yu |
A nomogram for predicting sepsis-associated delirium: a retrospective study in MIMIC III. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Medical Informatics Decis. Mak. ![In: BMC Medical Informatics Decis. Mak. 23(1), pp. 184, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Jinhu Zhuang, Haofan Huang, Song Jiang, Jianwen Liang, Yong Liu, Xiaxia Yu |
A generalizable and interpretable model for mortality risk stratification of sepsis patients in intensive care unit. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Medical Informatics Decis. Mak. ![In: BMC Medical Informatics Decis. Mak. 23(1), pp. 185, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Chao Yu 0004, Qikai Huang |
Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Medical Informatics Decis. Mak. ![In: BMC Medical Informatics Decis. Mak. 23(1), pp. 43, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Xiaodan Wu, Ruichang Li, Zhen He, Tianzhi Yu, Changqing Cheng |
A value-based deep reinforcement learning model with human expertise in optimal treatment of sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
npj Digit. Medicine ![In: npj Digit. Medicine 6, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Dayang Liang, Huiyi Deng, Yunlong Liu 0003 |
The treatment of sepsis: an episodic memory-assisted deep reinforcement learning approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Intell. ![In: Appl. Intell. 53(9), pp. 11034-11044, May 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Javier Solís-García, Belén Vega-Márquez, Juan A. Nepomuceno, José Cristóbal Riquelme Santos, Isabel A. Nepomuceno-Chamorro |
Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Intell. ![In: Appl. Intell. 53(24), pp. 30691-30705, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Yongrui Duan, Jiazhen Huo, Mingzhou Chen, Fenggang Hou, Guoliang Yan, Shufang Li, Haihui Wang |
Early prediction of sepsis using double fusion of deep features and handcrafted features. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Intell. ![In: Appl. Intell. 53(14), pp. 17903-17919, July 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Siwen Zhang, Yongrui Duan, Fenggang Hou, Guoliang Yan, Shufang Li, Haihui Wang, Liang Zhou |
Early prediction of sepsis using a high-order Markov dynamic Bayesian network (HMDBN) classifier. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Intell. ![In: Appl. Intell. 53(22), pp. 26384-26399, November 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Yutao Dou, Wei Li, Yucen Nan, Yidi Zhang, Shaoliang Peng |
Feature augmentation and semi-supervised conditional transfer learning for early detection of sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Biol. Medicine ![In: Comput. Biol. Medicine 165, pp. 107418, October 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Merel van den Berg, O'Jay A. G. Medina, Ingmar P. Loohuis, Michiel van der Flier, Jeroen Dudink, Manon J. N. L. Benders, Richard Bartels, Daniel Vijlbrief |
Development and clinical impact assessment of a machine-learning model for early prediction of late-onset sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Biol. Medicine ![In: Comput. Biol. Medicine 163, pp. 107156, September 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Kai Yang, Lin Gao, HongXia Hao, Liang Yu |
Identification of a novel gene signature for the prognosis of sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Biol. Medicine ![In: Comput. Biol. Medicine 159, pp. 106958, June 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Mahbub Ul Alam 0001, Rahim Rahmani |
FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Sensors ![In: Sensors 23(2), pp. 970, January 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Zheng Peng 0006, Gabriele Varisco, Xi Long, Rong-Hao Liang, Deedee Kommers, Ward Cottaar, Peter Andriessen, Carola van Pul |
A Continuous Late-Onset Sepsis Prediction Algorithm for Preterm Infants Using Multi-Channel Physiological Signals From a Patient Monitor. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE J. Biomed. Health Informatics ![In: IEEE J. Biomed. Health Informatics 27(1), pp. 550-561, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Hao Dai, Hsin-Ginn Hwang, Vincent S. Tseng |
PoEMS: Policy Network-Based Early Warning Monitoring System for Sepsis in Intensive Care Units. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE J. Biomed. Health Informatics ![In: IEEE J. Biomed. Health Informatics 27(7), pp. 3610-3621, July 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Ruiqing Ding, Yu Zhou, Jie Xu, Yan Xie, Qiqiang Liang, He Ren, Yixuan Wang, Yanlin Chen, Leye Wang, Man Huang |
Cross-Hospital Sepsis Early Detection via Semi-Supervised Optimal Transport With Self-Paced Ensemble. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE J. Biomed. Health Informatics ![In: IEEE J. Biomed. Health Informatics 27(6), pp. 3049-3060, June 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Zhengyu Jiang, Lulong Bo, Lei Wang, Yan Xie, Jianping Cao, Ying Yao, Wenbin Lu, Xiaoming Deng 0004, Tao Yang, Jinjun Bian |
Interpretable machine-learning model for real-time, clustered risk factor analysis of sepsis and septic death in critical care. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Methods Programs Biomed. ![In: Comput. Methods Programs Biomed. 241, pp. 107772, November 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Parham Porouhan |
Treatment process conformance checking of patients (with sepsis and septic shock) in compliance with SSC and WMA using fuzzy miner algorithm in Fluxicon Disco. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Appl. Decis. Sci. ![In: Int. J. Appl. Decis. Sci. 16(4), pp. 385-421, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Lakshita Singh, Lakshay Kamra, Muskan Agarwal, Anjana Gupta, H. C. Taneja |
Intelligent Medical Decision Making for Sepsis Detection using Reinforcement Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IVUS ![In: Proceedings of the 28th International Conference on Information Society and University Studies (IVUS 2023), Kaunas, Lithuania, May 12, 2023., pp. 162-170, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
17 | Christina-Athanasia I. Alexandropoulou, Ilias E. Panagiotopoulos, Styliani Kleanthous, George Dimitrakopoulos 0001, Ioannis Constantinou, Elena Politi, Dimitrios Ntalaperas, Xanthi S. Papageorgiou, Charithea Stylianides, Nikos Ioannides, Lakis Palazis, Constantinos S. Pattichis, Andreas S. Panayides |
AI-Enabled Solutions, Explainability and Ethical Concerns for Predicting Sepsis in ICUs: A Systematic Review. ![Search on Bibsonomy](Pics/bibsonomy.png) |
e-Science ![In: 19th IEEE International Conference on e-Science, e-Science 2023, Limassol, Cyprus, October 9-13, 2023, pp. 1-9, 2023, IEEE, 979-8-3503-2223-1. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Jinghua Xu, Natalia Minakova, Pablo Ortega Sanchez, Stefan Riezler |
Early Prediction of Sepsis Using Time Series Forecasting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
e-Science ![In: 19th IEEE International Conference on e-Science, e-Science 2023, Limassol, Cyprus, October 9-13, 2023, pp. 1-9, 2023, IEEE, 979-8-3503-2223-1. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Duc-Long Vu, Hai-Chau Le |
Efficient Machine Learning-based Gene Selection Exploiting Immune-related Biomarkers and Recursive Feature Elimination for Sepsis Diagnosis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SoICT ![In: Proceedings of the 12th International Symposium on Information and Communication Technology, SOICT 2023, Ho Chi Minh, Vietnam, December 7-8, 2023, pp. 585-591, 2023, ACM. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Rahma Hellali, Zaineb Chelly Dagdia, Karine Zeitouni |
Clustering Corticosteroids Responsiveness in Sepsis Patients using Game-Theoretic Rough Sets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FedCSIS ![In: Proceedings of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023, Warsaw, Poland, September 17-20, 2023., pp. 545-556, 2023, 978-83-967447-8-4. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Ruiqing Ding, Fangjie Rong, Xiao Han 0001, Leye Wang |
Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WWW ![In: Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023, pp. 3987-3993, 2023, ACM, 978-1-4503-9416-1. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Aaron Boussina, Haben Yhdego, Arshia Nayebnazar, Nathan Yung, Gabriel Wardi, Shamim Nemati |
Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMBC ![In: 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2023, Sydney, Australia, July 24-27, 2023, pp. 1-4, 2023, IEEE, 979-8-3503-2447-1. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Simon Lyra, Jinyi Jin, Steffen Leonhardt, Markus Lüken |
Early Prediction of Neonatal Sepsis From Synthetic Clinical Data Using Machine Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMBC ![In: 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2023, Sydney, Australia, July 24-27, 2023, pp. 1-4, 2023, IEEE, 979-8-3503-2447-1. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | J. Sasi Kiran, J. Avanija, Avala Raji Reddy, G. Naga Rama Devi, N. S. Charan, Tabeen Fatima |
Early Prediction of Sepsis Utilizing Machine Learning Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FICTA (1) ![In: Evolution in Computational Intelligence - Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), Cardiff, UK, 11-12 April, 2023., pp. 319-327, 2023, Springer, 978-981-99-6701-8. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | E. Laxmi Lydia, Sara A. Althubiti, C. S. S. Anupama, Kollati Vijaya Kumar |
Prediction of Sepsis Disease Using Random Search to Optimize Hyperparameter Tuning Based on Lazy Predict Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FICTA (2) ![In: Intelligent Data Engineering and Analytics - Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), Cardiff, UK, 11-12 April 2023., pp. 351-367, 2023, Springer, 978-981-99-6705-6. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Song Wei, Yao Xie 0002, Christopher S. Josef, Rishikesan Kamaleswaran |
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023, pp. 2536-2546, 2023, ACM. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Ling Li 0002, Kasun Rathnayake, Scott R. Walter, Mary Fullick, Amith Shetty, Paul Hudson, Harvey Lander, Johanna I. Westbrook |
Blood Culture Ordering After Sepsis Alerts and Subsequent Patient Outcomes: An Electronic Health Record-Based Study. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MedInfo ![In: MEDINFO 2023 - The Future Is Accessible - Proceedings of the 19th World Congress on Medical and Health Informatics, Sydney, NSW, Australia, 8-12 July 2023., pp. 314-318, 2023, IOS Press, 978-1-64368-456-7. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Khalia Ackermann, Johanna I. Westbrook, Ling Li 0002 |
Usability of Clinical Decision Support for Adult Sepsis Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MedInfo ![In: MEDINFO 2023 - The Future Is Accessible - Proceedings of the 19th World Congress on Medical and Health Informatics, Sydney, NSW, Australia, 8-12 July 2023., pp. 1380-1381, 2023, IOS Press, 978-1-64368-456-7. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Christoph Düsing, Philipp Cimiano |
Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AIME ![In: Artificial Intelligence in Medicine - 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12-15, 2023, Proceedings, pp. 86-96, 2023, Springer, 978-3-031-34343-8. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Zhang Leyi, Long Yingjie, Hu Yingbiao, Huinian Li |
LXLMEPS: Leveraging the XGB-lCE-Based Model for Early Prediction of Sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIC (3) ![In: Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part III, pp. 416-427, 2023, Springer, 978-981-99-4748-5. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Mozhgan Salimiparsa, Surajsinh Parmar, San Lee, Choongmin Kim, Yonghwan Kim, Jang Yong Kim |
Investigating Poor Performance Regions of Black Boxes: LIME-based Exploration in Sepsis Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
xAI (Late-breaking Work, Demos, Doctoral Consortium) ![In: Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), Lisbon, Portugal, July 26-28, 2023., pp. 107-111, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
17 | Anubhav Bhatti, Naveen Thangavelu, Marium Hassan, Choongmin Kim, San Lee, Yonghwan Kim, Jang Yong Kim |
Interpreting Forecasted Vital Signs Using N-BEATS in Sepsis Patients. ![Search on Bibsonomy](Pics/bibsonomy.png) |
xAI (Late-breaking Work, Demos, Doctoral Consortium) ![In: Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), Lisbon, Portugal, July 26-28, 2023., pp. 12-17, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
17 | Sina Pourang, Michael A. Suster, Asha Thomas, Stephanie D. Lapping, Lalitha V. Nayak, Pedram Mohseni |
Comparison of Whole Blood Coagulation Profiles in COVID-19 and Sepsis Patients Using a Handheld Dielectric Coagulometer. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BioCAS ![In: IEEE Biomedical Circuits and Systems Conference, BioCAS 2023, Toronto, ON, Canada, October 19-21, 2023, pp. 1-5, 2023, IEEE, 979-8-3503-0026-0. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu |
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Big Data ![In: IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023, pp. 1843-1852, 2023, IEEE, 979-8-3503-2445-7. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Yen-Tzu Lu, Wen-Yen Chang, Kun-Chan Lan, Yung-Chieh Lin |
Visualization of Heart Rate Abnormality and Its Application for Detection of Possible False-positive Neonatal Sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MeMeA ![In: IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023, Jeju, Korea, Republic of, June 14-16, 2023, pp. 1-6, 2023, IEEE, 978-1-6654-9384-0. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Yanyi Jenny Ding, Zhidi Luo, Mindy Szeto, Yuan Luo 0001, L. Nelson Sanchez-Pinto |
Pediatric Sepsis Phenotyping Using Vital Sign Trajectories. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BIBM ![In: IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, Istanbul, Turkiye, December 5-8, 2023, pp. 4297-4303, 2023, IEEE, 979-8-3503-3748-8. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Melissa Y. Yan, Lise Tuset Gustad, Lise Husby Høvik, Øystein Nytrø |
Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ClinicalNLP@ACL ![In: Proceedings of the 5th Clinical Natural Language Processing Workshop, ClinicalNLP@ACL 2023, Toronto, Canada, July 14, 2023., pp. 236-246, 2023, Association for Computational Linguistics, 978-1-959429-88-3. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Snehashis Chakraborty, Komal Kumar, Pailla Balakrishna Reddy, Tanushree Meena, Sudipta Roy 0002 |
An Explainable AI based Clinical Assistance Model for Identifying Patients with the Onset of Sepsis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IRI ![In: 24th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2023, Bellevue, WA, USA, August 4-6, 2023, pp. 297-302, 2023, IEEE, 979-8-3503-3458-6. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Smitha N, Arushi Singh, Abhishek Siddhartha Ghosh, Arya Kumari, Tanuja R., S. H. Manjula, Venugopal K. R. 0001 |
Early Prediction of Sepsis using ML Algorithms on Clinical Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCCNT ![In: 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023, Delhi, India, July 6-8, 2023, pp. 1-8, 2023, IEEE, 979-8-3503-3509-5. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
Displaying result #1 - #100 of 530 (100 per page; Change: ) Pages: [ 1][ 2][ 3][ 4][ 5][ 6][ >>] |
|