Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
75 | Steven A. Cohen, Elena N. Naumova |
Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BioSurveillance ![In: Intelligence and Security Informatics: Biosurveillance, Second NSF Workshop, BioSurveillance 2007, New Brunswick, NJ, USA, May 22, 2007, Proceedings., pp. 47-58, 2007, Springer, 978-3-540-72607-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
real-time surveillance, age-adjustment, Medicare, elderly, influenza |
67 | Sarah Shuler |
Medicare.gov. Administered by Centers for Medicare and Medicaid Services, 7500 Security Blvd., Baltimore, MD 21244. Retrieved April 15, 2012, from http: //www.medicare.gov/. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Gov. Inf. Q. ![In: Gov. Inf. Q. 29(3), pp. 429-430, 2012. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP DOI BibTeX RDF |
|
65 | Qingquan Wang, Lili Rong |
A Fast Fingerprint Matching Approach in Medicare Identity Verification Based on GAs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICNC (3) ![In: Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part III, pp. 151-160, 2005, Springer, 3-540-28320-X. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
64 | Hans R. Dutt, Michael Pepper, Joseph Brenner, John Stewart, Jonathan Smith, Mark Zezza |
Developing a Data-Driven Method for Estimating Provider Penetration and Abusive Billing Practices. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HICSS ![In: 34th Annual Hawaii International Conference on System Sciences (HICSS-34), January 3-6, 2001, Maui, Hawaii, USA, 2001, IEEE Computer Society, 0-7695-0981-9. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
45 | Mohammad Shahidul Kader, Wi-Suk Kwon, Salisa Westrick, Kassandra Ross, Yi Zhao, Xiao Huang |
What Functions on the Medicare Plan Finder Do Older Medicare Beneficiaries Use? ![Search on Bibsonomy](Pics/bibsonomy.png) |
HCI (37) ![In: HCI International 2021 - Posters - 23rd HCI International Conference, HCII 2021, Virtual Event, July 24-29, 2021, Proceedings, Part I, pp. 265-272, 2021, Springer, 978-3-030-78634-2. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
45 | Khaled S. Alqahtani |
The outcomes of the inpatient treatment for breast cancer and prostate cancer among medicare recipients and non-medicare recipients. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Medical Eng. Informatics ![In: Int. J. Medical Eng. Informatics 6(1), pp. 74-85, 2014. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP DOI BibTeX RDF |
|
44 | Susan B. Garavaglia |
There Goes the Neighborhood: A Comparison of a "Just-in- Time" SOM with the Traditional Kohonen Map Applied to Segmenting US Medicare Beneficiaries. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006, pp. 2295-2302, 2006, IEEE, 0-7803-9490-9. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
42 | Simon Hawkins, Graham J. Williams, Rohan A. Baxter, Peter Christen, Michael J. Fett, Markus Hegland, Fuchun Huang, Ole Møller Nielsen, Tatiana Semenova, Andrew Smith |
Data Mining of Administrative Claims Data for Pathology Services. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HICSS ![In: 34th Annual Hawaii International Conference on System Sciences (HICSS-34), January 3-6, 2001, Maui, Hawaii, USA, 2001, IEEE Computer Society, 0-7695-0981-9. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
pathology services, administrative claims, clustering, visualization, outlier detection, feature generation |
33 | Sridhar Vasudevan, K. J. Cleetus |
Low Cost Telemedicine for Home Health Care. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WETICE ![In: 10th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2001), 20-22 June 2001, Cambridge, MA, USA, pp. 39-40, 2001, IEEE Computer Society, 0-7695-1269-0. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
Home Health, Medicare, Telemedicine, Home Care |
22 | Bounab Rayene, Karim Zarour, Bouchra Guelib, Nawres Khlifa |
Enhancing Medicare Fraud Detection Through Machine Learning: Addressing Class Imbalance With SMOTE-ENN. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 12, pp. 54382-54396, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
22 | John T. Hancock, Huanjing Wang, Taghi M. Khoshgoftaar, Qianxin Liang |
Data reduction techniques for highly imbalanced medicare Big Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Big Data ![In: J. Big Data 11(1), pp. 8, December 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
22 | Reamonn Norat, Annie S. Wu, Xinliang Liu |
Genetic algorithms with self-adaptation for predictive classification of Medicare standardized payments for physical therapists. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Expert Syst. Appl. ![In: Expert Syst. Appl. 218, pp. 119529, May 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
22 | Renu Mishra, Inderpreet Kaur, Santosh Sahu, Sandeep Saxena, Nitima Malsa, Mamta Narwaria |
Establishing three layer architecture to improve interoperability in Medicare using smart and strategic API led integration. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SoftwareX ![In: SoftwareX 22, pp. 101376, May 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
22 | Yeeun Yoo, Jinho Shin, Sunghyon Kyeong |
Medicare Fraud Detection Using Graph Analysis: A Comparative Study of Machine Learning and Graph Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 11, pp. 88278-88294, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
22 | John T. Hancock, Richard A. Bauder, Huanjing Wang, Taghi M. Khoshgoftaar |
Explainable machine learning models for Medicare fraud detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Big Data ![In: J. Big Data 10(1), pp. 154, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
22 | M. Venunath, Pothula Sujatha, Srinu Dharavath, D. Natarajasivan, Prasad Koti |
Efficient method for identifying prominent supplier in large-scale healthcare information networks in Medicare. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soft Comput. ![In: Soft Comput. 27(15), pp. 11041-11052, August 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
22 | Beth Hogans, Bernadette Siaton, John Sorkin |
Diagnostic rate estimation from Medicare records: Dependence on claim numbers and latent clinical features. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Biomed. Informatics ![In: J. Biomed. Informatics 145, pp. 104463, September 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
22 | Unmesh Kumar Chakravarty, Shaikh Arifuzzaman |
Sentiment analysis of tweets on social security and medicare. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soc. Netw. Anal. Min. ![In: Soc. Netw. Anal. Min. 14(1), pp. 91, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
22 | Ebenezer Nana Banyin Harrison, Wi-Suk Kwon, Xiao Huang, Nick McCormick, Salisa Westrick |
Designing Intelligent Decision Assistants to Assist Seniors with Medicare Plan Decision-Making: An Application of Cognitive Response Theories. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HCI (33) ![In: Human Aspects of IT for the Aged Population - 9th International Conference, ITAP 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23-28, 2023, Proceedings, Part II, pp. 121-130, 2023, Springer, 978-3-031-34916-4. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
22 | Jing Yu, Zhenyang Yu, Kaiming Zhan, Fan Wu, Bo Yin, Lei Duan |
IFGDS: An Interactive Fraud Groups Detection System for Medicare Claims Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DASFAA (4) ![In: Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part IV, pp. 645-649, 2023, Springer, 978-3-031-30677-8. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
22 | James Kemp, Christopher Barker, Norm Good, Michael Bain 0001 |
Developing an anomaly detection framework for Medicare claims. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACSW ![In: Proceedings of the 2023 Australasian Computer Science Week, ACSW 2023, Melbourne, VIC, Australia, 30 January 2023- 3 February 2023, pp. 234-237, 2023, ACM, 979-8-4007-0005-7. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
22 | Huanjing Wang, John T. Hancock, Taghi M. Khoshgoftaar |
Improving Medicare Fraud Detection through Big Data Size Reduction Techniques. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SOSE ![In: IEEE International Conference on Service-Oriented System Engineering, SOSE 2023, Athens, Greece, July 17-20, 2023, pp. 208-217, 2023, IEEE, 979-8-3503-2239-2. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
22 | Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar |
Assessing One-Class and Binary Classification Approaches for Identifying Medicare Fraud. ![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. 267-272, 2023, IEEE, 979-8-3503-3458-6. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
22 | Ginger Zhe Jin, Ajin Lee, Susan Feng Lu |
Patient Routing to Skilled Nursing Facilities: The Consequences of the Medicare Reimbursement Rule. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Manag. Sci. ![In: Manag. Sci. 68(12), pp. 8722-8740, December 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
22 | Kartik K. Ganju, Hilal Atasoy, Paul A. Pavlou |
Do Electronic Health Record Systems Increase Medicare Reimbursements? The Moderating Effect of the Recovery Audit Program. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Manag. Sci. ![In: Manag. Sci. 68(4), pp. 2889-2913, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
22 | John T. Hancock, Taghi M. Khoshgoftaar |
Hyperparameter Tuning for Medicare Fraud Detection in Big Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SN Comput. Sci. ![In: SN Comput. Sci. 3(6), pp. 440, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
22 | Vladimir I. Valtchinov, Shawn N. Murphy, Ronilda Lacson, Nikolay Ikonomov, Bingxue K. Zhai, Katherine P. Andriole, Justin F. Rousseau, Dick Hanson, Isaac S. Kohane, Ramin Khorasani |
Analytics to monitor local impact of the Protecting Access to Medicare Act's imaging clinical decision support requirements. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Am. Medical Informatics Assoc. ![In: J. Am. Medical Informatics Assoc. 29(11), pp. 1870-1878, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
22 | Haiyan Qu, Tina Ruoting Wei, Shafiqul Islam, Garry Barnes, Kimberly Schmidt, Joshua Knight, Nihar Patel |
Patient factors associated with the offering of telehealth appointments from primary care physicians among Medicare Beneficiaries: Results from a national survey. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Medical Informatics ![In: Int. J. Medical Informatics 165, pp. 104822, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
22 | Akrity Kumari, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal |
Impact of the composition of feature extraction and class sampling in medicare fraud detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2206.01413, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
22 | Mansour Zoubeirou A. Mayaki, Michel Riveill |
Multiple Inputs Neural Networks for Medicare fraud Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2203.05842, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
22 | Shubhranshu Shekhar, Jetson Leder-Luis, Leman Akoglu |
Unsupervised Machine Learning for Explainable Medicare Fraud Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2211.02927, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
22 | Joshua D. Frederick, Derrick W. H. Fung, Charles C. Yang, Jason J. H. Yeh |
Individual health insurance reforms in the U.S.: Expanding interstate markets, Medicare for all, or Medicaid for all? ![Search on Bibsonomy](Pics/bibsonomy.png) |
Eur. J. Oper. Res. ![In: Eur. J. Oper. Res. 297(2), pp. 753-765, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
22 | Song Xiao 0004, Ting Bai, Xiangchong Cui, Bin Wu 0001, Xinkai Meng, Bai Wang 0001 |
A graph-based contrastive learning framework for medicare insurance fraud detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Frontiers Comput. Sci. ![In: Frontiers Comput. Sci. 17(2), pp. 172341, April 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
22 | Wenmo Zhang, Xueyang Liu, Xiaoya Zhang, Wenhui Hu, Jinchan Zhang, Wenyu Shao |
Medicare Fraud Gang Discovery Based on Community Discovery Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BigDataSecurity/HPSC/IDS ![In: 8th IEEE Intl Conference on Big Data Security on Cloud, IEEE Intl Conference on High Performance and Smart Computing and IEEE Intl Conference on Intelligent Data and Security, BigDataSecurity/HPSC/IDS, Jinan, China, May 6-8, 2022, pp. 206-211, 2022, IEEE, 978-1-6654-8069-7. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
22 | John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson |
The Effects of Random Undersampling for Big Data Medicare Fraud Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SOSE ![In: IEEE International Conference on Service-Oriented System Engineering, SOSE 2022, Newark, CA, USA, August 15-18, 2022, pp. 141-146, 2022, IEEE, 978-1-6654-7534-1. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
22 | Dillon Chrimes |
Big data analytics of predicting annual US Medicare billing claims with health services. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Big Data ![In: IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022, pp. 2747-5754, 2022, IEEE, 978-1-6654-8045-1. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
22 | Akrity Kumari, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal |
Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICONIP (3) ![In: Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part III, pp. 639-658, 2022, Springer, 978-3-031-30110-0. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
22 | John T. Hancock, Taghi M. Khoshgoftaar |
Gradient Boosted Decision Tree Algorithms for Medicare Fraud Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SN Comput. Sci. ![In: SN Comput. Sci. 2(4), pp. 268, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
22 | Marie-Laure Bougnol, José H. Dulá |
Improving productivity using government data: The case of US Centers for Medicare & Medicaid's 'Nursing Home Compare'. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Oper. Res. Soc. ![In: J. Oper. Res. Soc. 72(5), pp. 1075-1086, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
22 | Michelle Schreiber, Deborah Krauss, Bridget Blake, Edna Boone, Rose Almonte |
Balancing value and burden: the Centers for Medicare & Medicaid Services electronic Clinical Quality Measure (eCQM) Strategy Project. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Am. Medical Informatics Assoc. ![In: J. Am. Medical Informatics Assoc. 28(11), pp. 2475-2482, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
22 | Shrirang Ambaji Kulkarni, Jodh S. Pannu, Andriy V. Koval, Gabriel J. Merrin, Varadraj Prabhu Gurupur, Ayan Nasir, Christian King, Thomas T. H. Wan |
A Brief Analysis of Key Machine Learning Methods for Predicting Medicare Payments Related to Physical Therapy Practices in the United States. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Inf. ![In: Inf. 12(2), pp. 57, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
22 | Shrirang Ambaji Kulkarni, Varadraj Prabhu Gurupur, Christian King, Andriy V. Koval |
Impact of Gaussian Noise for Optimized Support Vector Machine Algorithm Applied to Medicare Payment on Raspberry Pi. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Informatica (Slovenia) ![In: Informatica (Slovenia) 45(4), 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
22 | Lindsay A. Stevens, Natalie M. Pageler, Jin S. Hahn |
Improved Medical Student Engagement with EHR Documentation following the 2018 Centers for Medicare and Medicaid Billing Changes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Clin. Inform. ![In: Appl. Clin. Inform. 12(03), pp. 582-588, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
22 | Vojtech Huser, Nick Williams, Craig S. Mayer |
Linking Provider Specialty and Outpatient Diagnoses in Medicare Claims Data: Data Quality Implications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Clin. Inform. ![In: Appl. Clin. Inform. 12(4), pp. 729-736, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
22 | Chuhong Lahlou, Ancil Crayton, Caroline Trier, Evan Willett |
Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2105.09428, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
22 | Dimitrios Zikos, Aashara Shrestha, Leonidas Fegaras |
A Cross-Sectional Study to Predict Mortality for Medicare Patients Based on the Combined Use of HCUP Tools. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Heal. Informatics Res. ![In: J. Heal. Informatics Res. 5(3), pp. 300-318, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
22 | Kassandra Ross, Wi-Suk Kwon, Salisa Westrick, Mohammad Shahidul Kader, Yi Zhao, Xiao Huang |
Medicare Plan Decisions: What Strategy Do Older Adults Use for e-Healthcare Decision-Making and What Intelligent Assistance Do They Need? ![Search on Bibsonomy](Pics/bibsonomy.png) |
HCI (37) ![In: HCI International 2021 - Posters - 23rd HCI International Conference, HCII 2021, Virtual Event, July 24-29, 2021, Proceedings, Part I, pp. 309-317, 2021, Springer, 978-3-030-78634-2. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
22 | Ketong Zhao, Bingzhen Sun |
A supply chain model for Medicare of impoverished people with the policy of targeted poverty alleviation of China. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Kybernetes ![In: Kybernetes 49(3), pp. 896-915, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
22 | Richard A. Bauder, Taghi M. Khoshgoftaar |
A study on rare fraud predictions with big Medicare claims fraud data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Intell. Data Anal. ![In: Intell. Data Anal. 24(1), pp. 141-161, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
22 | John T. Hancock, Taghi M. Khoshgoftaar |
Performance of CatBoost and XGBoost in Medicare Fraud Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICMLA ![In: 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020, pp. 572-579, 2020, IEEE, 978-1-7281-8470-8. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
22 | Sarmad Monadel Sabree Al-Gayar, Iuliana Marin, Mohammed Tali Almalchy, Nicolae Goga, Naseer Abdulkarim Jaber Al-Habeeb, Cristian Taslitchi |
Implementation of MediCare Social Media System. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECAI ![In: 12th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2020, Bucharest, Romania, June 25-27, 2020, pp. 1-8, 2020, IEEE, 978-1-7281-6843-2. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
22 | John T. Hancock, Taghi M. Khoshgoftaar |
Medicare Fraud Detection using CatBoost. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IRI ![In: 21st International Conference on Information Reuse and Integration for Data Science, IRI 2020, Las Vegas, NV, USA, August 11-13, 2020, pp. 97-103, 2020, IEEE, 978-1-7281-1054-7. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
22 | Yuping Su, Xingquan Zhu 0001, Bei Dong, Yumei Zhang, Xiaojun Wu 0002 |
MedFroDetect: Medicare Fraud Detection with Extremely Imbalanced Class Distributions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FLAIRS ![In: Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, Originally to be held in North Miami Beach, Florida, USA, May 17-20, 2020., pp. 357-361, 2020, AAAI Press, 978-1-57735-821-3. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
|
22 | Justin M. Johnson, Taghi M. Khoshgoftaar |
Hcpcs2Vec: Healthcare Procedure Embeddings for Medicare Fraud Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIC ![In: 6th IEEE International Conference on Collaboration and Internet Computing, CIC 2020, Atlanta, GA, USA, December 1-3, 2020, pp. 145-152, 2020, IEEE, 978-1-7281-4146-6. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
22 | Varadraj Prabhu Gurupur, Shrirang Ambaji Kulkarni, Xinliang Liu, Usha Desai, Ayan Nasir |
Analysing the power of deep learning techniques over the traditional methods using medicare utilisation and provider data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Exp. Theor. Artif. Intell. ![In: J. Exp. Theor. Artif. Intell. 31(1), pp. 99-115, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
22 | Sandip Bisui, Subhas C. Misra |
Impact of Privacy Issues on Successful Implementation of Personalized Medicare System: An Empirical Study. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. E Health Medical Commun. ![In: Int. J. E Health Medical Commun. 10(3), pp. 96-115, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
22 | Anil Aswani, Zuo-Jun Max Shen, Auyon Siddiq |
Data-Driven Incentive Design in the Medicare Shared Savings Program. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Oper. Res. ![In: Oper. Res. 67(4), pp. 1002-1026, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
22 | Justin M. Johnson, Taghi M. Khoshgoftaar |
Medicare fraud detection using neural networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Big Data ![In: J. Big Data 6, pp. 63, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
22 | Arif Khan 0001, Uma Srinivasan 0001, Shahadat Uddin |
Development and exploration of polymedication network from Pharmaceutical and Medicare Benefits Scheme data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACSW ![In: Proceedings of the Australasian Computer Science Week Multiconference, ACSW 2019, Sydney, NSW, Australia, January 29-31, 2019, pp. 34:1-34:6, 2019, ACM, 978-1-4503-6603-8. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
22 | Richard A. Bauder, Matthew Herland, Taghi M. Khoshgoftaar |
Evaluating Model Predictive Performance: A Medicare Fraud Detection Case Study. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IRI ![In: 20th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2019, Los Angeles, CA, USA, July 30 - August 1, 2019, pp. 9-14, 2019, IEEE, 978-1-7281-1337-1. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
22 | Yunyi Feng, Simon M. Lin, Enju Lin, Lesley Farley, Yungui Huang, Chang Liu 0028 |
Identifying Candidates for Medical Coding Audits: Demonstration of a Data Driven Approach to Improve Medicare Severity Diagnosis-Related Group Coding Compliance. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HIS ![In: Health Information Science - 8th International Conference, HIS 2019, Xi'an, China, October 18-20, 2019, Proceedings, pp. 47-57, 2019, Springer, 978-3-030-32961-7. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
22 | Annie Wu, Xinliang Liu, Reamonn Norat |
A Genetic Algorithm Approach to Predictive Modeling of Medicare Payments to Physical Therapists. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FLAIRS ![In: Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, Sarasota, Florida, USA, May 19-22 2019., pp. 311-317, 2019, AAAI Press. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
22 | Nathanael Fillmore, Sergey Goryachev, Jeremy Weiss |
Hypersphere clustering to characterize healthcare providers using prescriptions and procedures from Medicare claims data. ![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 |
|
22 | Matthew Herland |
Big Data Analytics and Engineering for Medicare Fraud Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
|
2019 |
RDF |
|
22 | Dawn Heisey-Grove, Hilary K. Wall, Janet S. Wright |
Electronic clinical quality measure reporting challenges: findings from the Medicare EHR Incentive Program's Controlling High Blood Pressure Measure. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Am. Medical Informatics Assoc. ![In: J. Am. Medical Informatics Assoc. 25(2), pp. 127-134, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
22 | Idris Adjerid, Julia Adler-Milstein, Corey M. Angst |
Reducing Medicare Spending Through Electronic Health Information Exchange: The Role of Incentives and Exchange Maturity. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Inf. Syst. Res. ![In: Inf. Syst. Res. 29(2), pp. 341-361, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
22 | Matthew Herland, Taghi M. Khoshgoftaar, Richard A. Bauder |
Big Data fraud detection using multiple medicare data sources. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Big Data ![In: J. Big Data 5, pp. 29, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
22 | Harleen Kaur, Mohd. Afshar Alam, Roshan Jameel, Ashish Kumar Mourya, Victor Chang 0001 |
A Proposed Solution and Future Direction for Blockchain-Based Heterogeneous Medicare Data in Cloud Environment. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Medical Syst. ![In: J. Medical Syst. 42(8), pp. 156:1-156:11, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
22 | Julie Babyar |
Medicare, Metrics and Trust in the Future. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Medical Syst. ![In: J. Medical Syst. 42(8), pp. 155:1-155:7, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
22 | Alexander Rosenberg, Christopher Fucile, Robert J. White, Melissa Trayhan, Samir A. Farooq, Caroline M. Quill, Lisa A. Nelson, Samuel J. Weisenthal, Kristen Bush, Martin S. Zand |
Visualizing nationwide variation in medicare Part D prescribing patterns. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Medical Informatics Decis. Mak. ![In: BMC Medical Informatics Decis. Mak. 18(1), pp. 103:1-103:19, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
22 | Richard A. Bauder, Taghi M. Khoshgoftaar |
The effects of varying class distribution on learner behavior for medicare fraud detection with imbalanced big data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Health Inf. Sci. Syst. ![In: Health Inf. Sci. Syst. 6(1), pp. 9, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
22 | Richard A. Bauder, Taghi M. Khoshgoftaar, Tawfiq Hasanin |
Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICTAI ![In: IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, 5-7 November 2018, Volos, Greece., pp. 137-142, 2018, IEEE. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
22 | Richard A. Bauder, Raquel da Rosa, Taghi M. Khoshgoftaar |
Identifying Medicare Provider Fraud with Unsupervised Machine Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IRI ![In: 2018 IEEE International Conference on Information Reuse and Integration, IRI 2018, Salt Lake City, UT, USA, July 6-9, 2018, pp. 285-292, 2018, IEEE, 978-1-5386-2659-7. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
22 | Richard A. Bauder, Taghi M. Khoshgoftaar |
A Survey of Medicare Data Processing and Integration for Fraud Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IRI ![In: 2018 IEEE International Conference on Information Reuse and Integration, IRI 2018, Salt Lake City, UT, USA, July 6-9, 2018, pp. 9-14, 2018, IEEE, 978-1-5386-2659-7. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
22 | Richard A. Bauder, Taghi M. Khoshgoftaar |
Medicare Fraud Detection Using Random Forest with Class Imbalanced Big Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IRI ![In: 2018 IEEE International Conference on Information Reuse and Integration, IRI 2018, Salt Lake City, UT, USA, July 6-9, 2018, pp. 80-87, 2018, IEEE, 978-1-5386-2659-7. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
22 | Richard A. Bauder, Taghi M. Khoshgoftaar |
The Detection of Medicare Fraud Using Machine Learning Methods with Excluded Provider Labels. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FLAIRS ![In: Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018, Melbourne, Florida, USA. May 21-23 2018., pp. 404-409, 2018, AAAI Press. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
|
22 | Richard A. Bauder, Taghi M. Khoshgoftaar, Amri Napolitano |
Fraud Detection with a Limited Number of Known Fraudulent Medicare Providers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FLAIRS ![In: Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018, Melbourne, Florida, USA. May 21-23 2018., pp. 299-304, 2018, AAAI Press. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
|
22 | Hadi Zarkoob, Prasanna Desikan, Prakash Menon, Harshna Kapashi, Hossein Fakhrai-Rad, Barrie Bradley |
Early Prediction of Risk Adjustment Factor (RAF) for Medicare Advantage (MA) and Evaluation of its Benefits. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BCB ![In: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2018, Washington, DC, USA, August 29 - September 01, 2018, pp. 534, 2018, ACM. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
22 | Richard A. Bauder |
Machine Learning Algorithms with Big Medicare Fraud Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
|
2018 |
RDF |
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22 | Mark Aaron Unruh, Hye-Young Jung 0002, Rainu Kaushal, Joshua R. Vest |
Hospitalization event notifications and reductions in readmissions of Medicare fee-for-service beneficiaries in the Bronx, New York. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Am. Medical Informatics Assoc. ![In: J. Am. Medical Informatics Assoc. 24(e1), pp. e150-e156, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
22 | Maggie Makar, Marzyeh Ghassemi, David Cutler, Ziad Obermeyer |
Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1712.00644, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
|
22 | Danish H. Saifee, Indranil R. Bardhan |
Healthcare outcomes, information technology, and Medicare reimbursements: a hospital-level analyses. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Electron. Heal. ![In: Int. J. Electron. Heal. 9(2/3), pp. 129-156, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
22 | Richard A. Bauder, Taghi M. Khoshgoftaar |
Medicare Fraud Detection Using Machine Learning Methods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICMLA ![In: 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017, Cancun, Mexico, December 18-21, 2017, pp. 858-865, 2017, IEEE, 978-1-5386-1418-1. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
22 | Jiwon Seo, Ofer Mendelevitch |
Identifying frauds and anomalies in Medicare-B dataset. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMBC ![In: 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, July 11-15, 2017, pp. 3664-3667, 2017, IEEE, 978-1-5090-2809-2. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
22 | Saad Sadiq, Yudong Tao, Yilin Yan, Mei-Ling Shyu |
Mining Anomalies in Medicare Big Data Using Patient Rule Induction Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BigMM ![In: Third IEEE International Conference on Multimedia Big Data, BigMM 2017, Laguna Hills, CA, USA, April 19-21, 2017, pp. 185-192, 2017, IEEE Computer Society, 978-1-5090-6549-3. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
22 | Matthew Herland, Richard A. Bauder, Taghi M. Khoshgoftaar |
Medical Provider Specialty Predictions for the Detection of Anomalous Medicare Insurance Claims. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IRI ![In: 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, CA, USA, August 4-6, 2017, pp. 579-588, 2017, IEEE Computer Society, 978-1-5386-1562-1. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
22 | Weijia Zhang, Xiaofeng He |
An Anomaly Detection Method for Medicare Fraud Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICBK ![In: IEEE International Conference on Big Knowledge, ICBK 2017, Hefei, China, August 9-10, 2017, pp. 309-314, 2017, IEEE Computer Society, 978-1-5386-3120-1. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
22 | Richard A. Bauder, Taghi M. Khoshgoftaar |
Multivariate Anomaly Detection in Medicare using Model Residuals and Probabilistic Programming. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FLAIRS ![In: Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017, Marco Island, Florida, USA, May 22-24, 2017., pp. 417-422, 2017, AAAI Press, 978-1-57735-787-2. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
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22 | Shelley A. Rusincovitch, Ricardo Henao, Michael Gao, Lawrence Carin, Ursula Rogers, Nigel B. Neely, Mary Schilder, Daniel Costello, Eugenie Komives, Erich Huang |
Rationale and Design for the Duke Connected Care Predictive Modeling Pilot with a Medicare Shared Savings Program Population. ![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 |
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22 | Fabrício S. P. Kury, Seo H. Baik, Clement J. McDonald |
Cardioprotective Drugs and Incident Dementias in Medicare's Big Data. ![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 |
|
22 | Viju Raghupathi, Wullianallur Raghupathi |
Exploring Cost and Quality of Medicare in the United States using Analytics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Heal. Inf. Syst. Informatics ![In: Int. J. Heal. Inf. Syst. Informatics 11(2), pp. 1-18, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
22 | Richard A. Bauder, Taghi M. Khoshgoftaar |
A Novel Method for Fraudulent Medicare Claims Detection from Expected Payment Deviations (Application Paper). ![Search on Bibsonomy](Pics/bibsonomy.png) |
IRI ![In: 17th IEEE International Conference on Information Reuse and Integration, IRI 2016, Pittsburgh, PA, USA, July 28-30, 2016, pp. 11-19, 2016, IEEE Computer Society, 978-1-5090-3207-5. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
22 | Fabrício S. P. Kury, Seo H. Baik, Clement J. McDonald |
Analysis of Healthcare Cost and Utilization in the First Two Years of the Medicare Shared Savings Program Using Big Data from the CMS Enclave. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AMIA ![In: AMIA 2016, American Medical Informatics Association Annual Symposium, Chicago, IL, USA, November 12-16, 2016, 2016, AMIA. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP BibTeX RDF |
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22 | Elizabeth Lamont, Nancy Keating, Christopher Azzoli, Mary Beth Landrum |
Superiority of Carboplatin-Based Doublet Chemotherapy Regimens to Cisplatin-Based Doublet Chemotherapy Regimens among a Cohort of Medicare Patients Aged 70 and Older with Stage IV Non-Small Cell Lung Cancer. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AMIA ![In: AMIA 2016, American Medical Informatics Association Annual Symposium, Chicago, IL, USA, November 12-16, 2016, 2016, AMIA. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP BibTeX RDF |
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22 | Eshini Perera, Neiraja Gnaneswaran, Marlon Perera, Rodney Sinclair |
Validating the use of Medicare Australia billing data to examine trends in skin cancer. ![Search on Bibsonomy](Pics/bibsonomy.png) |
F1000Research ![In: F1000Research 4, pp. 1341, 2015. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
22 | Christopher Powers, Meghan Hufstader Gabriel, William Encinosa, Farzad Mostashari, Julie Bynum |
Meaningful use stage 2 e-prescribing threshold and adverse drug events in the Medicare Part D population with diabetes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Am. Medical Informatics Assoc. ![In: J. Am. Medical Informatics Assoc. 22(5), pp. 1094-1098, 2015. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
22 | Ronald J. Ozminkowski, Timothy S. Wells, Kevin Hawkins, Gandhi R. Bhattarai, Charles W. Martel, Charlotte S. Yeh |
Big Data, Little Data, and Care Coordination for Medicare Beneficiaries with Medigap Coverage. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Big Data ![In: Big Data 3(2), pp. 114-125, 2015. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
22 | Syed S. Husain, Alexandr A. Kalinin, Anh Truong, Ivo D. Dinov |
SOCR data dashboard: an integrated big data archive mashing medicare, labor, census and econometric information. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Big Data ![In: J. Big Data 2, pp. 13, 2015. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
22 | Kartik K. Ganju, Hilal Atasoy, Paul A. Pavlou |
Does the Adoption of EMR Systems Inflate Medicare Reimbursements? ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIS ![In: Proceedings of the International Conference on Information Systems - Exploring the Information Frontier, ICIS 2015, Fort Worth, Texas, USA, December 13-16, 2015, 2015, Association for Information Systems. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP BibTeX RDF |
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22 | Mark Aaron Unruh, Joshua R. Vest, Hye-Young Jung 0002, Rainu Kaushal |
Hospital Participation in Meaningful Use and Rehospitalization of Medicare Beneficiaries. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AMIA ![In: AMIA 2015, American Medical Informatics Association Annual Symposium, San Francisco, CA, USA, November 14-18, 2015, 2015, AMIA. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP BibTeX RDF |
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