Profiling Readmissions Using Hidden Markov Model - the Case of Congestive Heart Failure

Author:

Ben-Assuli Ofir1ORCID,Heart Tsipi1ORCID,Vest Joshua R.2,Ramon-Gonen Roni3,Shlomo Nir4,Klempfner Robert4

Affiliation:

1. Faculty of Business Administration, Ono Academic College, Kiryat Ono, Israel

2. Fairbanks School of Public Health, Indiana University, Bloomington, Indiana, USA

3. The Graduate School of Business Administration , Bar Ilan University, Ramat-Gan, Israel

4. The Leviev Heart Center, Sheba Medical Center, Ramat Gan, Israel

Funder

GIF

German-Israeli Foundation for Scientific Research and Development

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hidden Markov Model - Applications, Strengths, and Weaknesses;2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT);2024-03-15

2. Geodemographic Profiling of Malicious IP addresses;2023 20th Annual International Conference on Privacy, Security and Trust (PST);2023-08-21

3. An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer;International Journal of Medical Informatics;2022-12

4. Data-driven versus a domain-led approach to k-means clustering on an open heart failure dataset;International Journal of Data Science and Analytics;2022-07-25

5. Current state of artificial intelligence-based algorithms for hospital admission prediction in patients with heart failure: a scoping review;European Heart Journal - Digital Health;2022-06-24

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