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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Machine Learning (1121) Clinical Information and Decision Making (1040) Decision Support for Health Professionals (853)

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 Zhang 1 Author Orcid Image ;   Yunfei Xue 1, 2 Author Orcid Image ;   Xinyu Su 1, 2 Author Orcid Image ;   Shaoyong Chen 1, 2 Author Orcid Image ;   Kang Liu 1, 3 Author Orcid Image ;   Weiqi Chen 1 Author Orcid Image ;   Mei Liu 4 Author Orcid Image ;   Yong Hu 1 Author Orcid Image
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