This paper is in the following e-collection/theme issue:

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Machine Learning (1501) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210)

Published on in Vol 10, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38053, first published .
A Transfer Learning Approach to Correct the Temporal Performance Drift of Clinical Prediction Models: Retrospective Cohort Study

A Transfer Learning Approach to Correct the Temporal Performance Drift of Clinical Prediction Models: Retrospective Cohort Study

A Transfer Learning Approach to Correct the Temporal Performance Drift of Clinical Prediction Models: Retrospective Cohort Study

Authors of this article:

Xiangzhou Zhang1 Author Orcid Image ;   Yunfei Xue1, 2 Author Orcid Image ;   Xinyu Su1, 2 Author Orcid Image ;   Shaoyong Chen1, 2 Author Orcid Image ;   Kang Liu1, 3 Author Orcid Image ;   Weiqi Chen1 Author Orcid Image ;   Mei Liu4 Author Orcid Image ;   Yong Hu1 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Xiangzhou Zhang   1 * , PhD ;   Yunfei Xue   1, 2 * , MSc ;   Xinyu Su   1, 2 * , MSc ;   Shaoyong Chen   1, 2 , MSc ;   Kang Liu   1, 3 , PhD ;   Weiqi Chen   1 , PhD ;   Mei Liu   4 , PhD ;   Yong Hu   1 , PhD

1 Big Data Decision Institute, Jinan University, Guangzhou, China

2 College of Information Science and Technology, Jinan University, Guangzhou, China

3 School of Management, Jinan University, Guangzhou, China

4 Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States

*these authors contributed equally

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