All-cause mortality prediction in T2D patients with iTirps-Reference-Cited by-同舟云学术

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All-cause mortality prediction in T2D patients with iTirps

Published:2022-08 Issue: Volume:130 Page:102325
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Novitski Pavel,Cohen Cheli Melzer,Karasik Avraham,Shalev Varda,Hodik Gabriel,Moskovitch Robert

Funder

Ministry of Science and Technology, Israel

Israel Ministry of Innovation Science & Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference80 articles.

1. Patients with type 2 diabetes had higher rates of hospitalization than the general population;Bo;J Clin Epidemiol,2004

2. Rates and risk of hospitalisation among patients with type 2 diabetes: retrospective cohort study using the Uk general practice research database linked to english hospital episode statistics;Khalid;Int J Clin Pract,2014

3. The implementation of managed care for diabetes using medical informatics in a large preferred provider organization;Heymann;Diabetes Res Clin Pract,2006

4. All-cause mortality prediction in t2d patients;Novitski,2020

5. Classification-driven temporal discretization of multivariate time series;Moskovitch;Data Min Knowl Disc,2015

Cited by 3 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. Predictive temporal patterns discovery;Expert Systems with Applications;2023-09

2. Multi-Feature Map Integrated Attention Model for Early Prediction of Type 2 Diabetes Using Irregular Health Examination Records;IEEE Journal of Biomedical and Health Informatics;2023

3. Visualization of frequent temporal patterns in single or two populations;Journal of Biomedical Informatics;2022-10

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