Search results for "sepsis"

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.	BIBE	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.	J. Am. Medical Informatics Assoc.	2020	DBLP DOI BibTeX RDF
63	Wayne W. Wakeland, Louis M. Macovsky, Gary An	A hybrid simulation model for studying acute inflammatory response.	SpringSim (2)	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.	FUZZ-IEEE	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.	AMIA	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.	ICT Express	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.	ISAIMS	2023	DBLP DOI BibTeX RDF
34	Ayesha Williams-Bhatti, David Carruthers, Andrew Sean Wilson	SEPSIS COLLAB: A Virtual Reality Training Simulation For Sepsis Treatment.	VRW	2023	DBLP DOI BibTeX RDF
34	Umut Kaya	Sepsis hastalığının derin öğrenme yöntemiyle tahmini (Sepsis disease prediction by deep learning)		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.	SoftwareX	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.	BMC Medical Informatics Decis. Mak.	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.	Biomed. Signal Process. Control.	2020	DBLP DOI BibTeX RDF
34	Gavin Tsang, Xianghua Xie	Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset.	ICPR	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.	CoRR	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.	CinC	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?	AMIA	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).		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.	Biomed. Signal Process. Control.	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.	SeGAH	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.	BMC Bioinform.	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.	BMC Medical Informatics Decis. Mak.	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.	AIME	2007	DBLP DOI BibTeX RDF
17	Merve Apalak, Kamran Kiasaleh	Advancing Early Detection of Sepsis With Temporal Convolutional Networks Using ECG Signals.	IEEE Access	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.	Artif. Intell. Medicine	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.	Artif. Intell. Medicine	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.	CoRR	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.	CoRR	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.	BMC Medical Informatics Decis. Mak.	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.	npj Digit. Medicine	2024	DBLP DOI BibTeX RDF
17	Camelia Maleki, Frederik Gailly	Exploring the Power of Triple Crown Process Modeling in Healthcare: Sepsis Case.	BIOSTEC (2)	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.	NCDHWS (2)	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.	Semantic Web	2023	DBLP DOI BibTeX RDF
17	Bilal Yaseen Al-Mualemi, Lu Lu 0011	Characterization of heart rate variability and oxygen saturation in sepsis patients.	Expert Syst. J. Knowl. Eng.	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.	IEEE ACM Trans. Comput. Biol. Bioinform.	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.	BMC Bioinform.	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.	BMC Bioinform.	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.	Appl. Comput. Intell. Soft Comput.	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.	J. Am. Medical Informatics Assoc.	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.	Artif. Intell. Medicine	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.	Int. J. Medical Informatics	2023	DBLP DOI BibTeX RDF
17	Idris Adjerid, Mehmet U. S. Ayvaci, Özalp Özer	Value of Algorithm-Enabled Process Innovation: The Case of Sepsis.	Manuf. Serv. Oper. Manag.	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.	Nat. Mac. Intell.	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.	CoRR	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.	CoRR	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.	CoRR	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.	CoRR	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.	CoRR	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.	CoRR	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.	CoRR	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.	CoRR	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.	CoRR	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.	CoRR	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.	CoRR	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.	CoRR	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.	CoRR	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.	Int. J. Comput. Biol. Drug Des.	2023	DBLP DOI BibTeX RDF
17	Priti Shaw, Kaustubh Pachpor, Suresh Sankaranarayanan	Explainable AI Enabled Infant Mortality Prediction Based on Neonatal Sepsis.	Comput. Syst. Sci. Eng.	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.	BMC Medical Informatics Decis. Mak.	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.	BMC Medical Informatics Decis. Mak.	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.	BMC Medical Informatics Decis. Mak.	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.	BMC Medical Informatics Decis. Mak.	2023	DBLP DOI BibTeX RDF
17	Chao Yu 0004, Qikai Huang	Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning.	BMC Medical Informatics Decis. Mak.	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.	npj Digit. Medicine	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.	Appl. Intell.	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.	Appl. Intell.	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.	Appl. Intell.	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.	Appl. Intell.	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.	Comput. Biol. Medicine	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.	Comput. Biol. Medicine	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.	Comput. Biol. Medicine	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.	Sensors	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.	IEEE J. Biomed. Health Informatics	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.	IEEE J. Biomed. Health Informatics	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.	IEEE J. Biomed. Health Informatics	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.	Comput. Methods Programs Biomed.	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.	Int. J. Appl. Decis. Sci.	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.	IVUS	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.	e-Science	2023	DBLP DOI BibTeX RDF
17	Jinghua Xu, Natalia Minakova, Pablo Ortega Sanchez, Stefan Riezler	Early Prediction of Sepsis Using Time Series Forecasting.	e-Science	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.	SoICT	2023	DBLP DOI BibTeX RDF
17	Rahma Hellali, Zaineb Chelly Dagdia, Karine Zeitouni	Clustering Corticosteroids Responsiveness in Sepsis Patients using Game-Theoretic Rough Sets.	FedCSIS	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.	WWW	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.	EMBC	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.	EMBC	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.	FICTA (1)	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.	FICTA (2)	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.	KDD	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.	MedInfo	2023	DBLP DOI BibTeX RDF
17	Khalia Ackermann, Johanna I. Westbrook, Ling Li 0002	Usability of Clinical Decision Support for Adult Sepsis Detection.	MedInfo	2023	DBLP DOI BibTeX RDF
17	Christoph Düsing, Philipp Cimiano	Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction.	AIME	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.	ICIC (3)	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.	xAI (Late-breaking Work, Demos, Doctoral Consortium)	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.	xAI (Late-breaking Work, Demos, Doctoral Consortium)	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.	BioCAS	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.	IEEE Big Data	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.	MeMeA	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.	BIBM	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.	ClinicalNLP@ACL	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.	IRI	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.	ICCCNT	2023	DBLP DOI BibTeX RDF