Risk prediction for repeated measures health outcomes: A divide and recombine framework-Reference-Cited by-同舟云学术

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Risk prediction for repeated measures health outcomes: A divide and recombine framework

Published:2022 Issue: Volume:28 Page:100847
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Chowdhury Rafiqul I.,Tomal Jabed H.^ORCID

Funder

NSERC

Publisher

Elsevier BV

Subject

Health Informatics

Reference36 articles.

1. Analysis of repeated measures data;Islam,2017

2. Cohort profile: the health and retirement study (HRS);Sonnega;Int J Epidemiol,2014

3. Predicting healthcare trajectories from medical records: A deep learning approach;Pham;J Biomed Inform,2017

4. Learning from longitudinal data in electronic health record and genetic data to improve cardiovascular event prediction;Zhao;Sci Rep,2019

5. Regressive models for risk prediction for repeated multinomial outcomes: an illustration using health and retirement study (HRS) data;Chowdhury;Biom J,2020

Cited by 2 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. Divide and recombine approach for warranty database: Estimating the reliability of an automobile component;Data Science and Management;2023-12

2. OMOP CDM Can Facilitate Data-Driven Studies for Cancer Prediction: A Systematic Review;International Journal of Molecular Sciences;2022-10-05

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