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

BACKGROUND: Clinical prediction models suffer from performance drift as the patient population shifts over time. There is a great need for model updating approaches or modeling frameworks that can effectively use the old and new data. OBJECTIVE: Based on the paradigm of transfer learning, we aimed t...

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Detalles Bibliográficos
Autores principales: Zhang, Xiangzhou, Xue, Yunfei, Su, Xinyu, Chen, Shaoyong, Liu, Kang, Chen, Weiqi, Liu, Mei, Hu, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685506/
https://www.ncbi.nlm.nih.gov/pubmed/36350705
http://dx.doi.org/10.2196/38053