A Transfer Learning Approach to Correct the Temporal Performance Drift of Clinical Prediction Models: Retrospective Cohort Study
BackgroundClinical 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. ObjectiveBased on the paradigm...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2022-11-01
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| Series: | JMIR Medical Informatics |
| Online Access: | https://medinform.jmir.org/2022/11/e38053 |