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

Clinical Informatics (1350) Machine Learning (2126) Artificial Intelligence (2194) Clinical Information and Decision Making (1956) Decision Support for Health Professionals (1565) Computer-Aided Diagnosis (258)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51409, first published .
Longitudinal Model Shifts of Machine Learning–Based Clinical Risk Prediction Models: Evaluation Study of Multiple Use Cases Across Different Hospitals

Longitudinal Model Shifts of Machine Learning–Based Clinical Risk Prediction Models: Evaluation Study of Multiple Use Cases Across Different Hospitals

Longitudinal Model Shifts of Machine Learning–Based Clinical Risk Prediction Models: Evaluation Study of Multiple Use Cases Across Different Hospitals

Authors of this article:

Patricia Cabanillas Silva1 Author Orcid Image ;   Hong Sun2, 3 Author Orcid Image ;   Mohamed Rezk1 Author Orcid Image ;   Diana M Roccaro-Waldmeyer1 Author Orcid Image ;   Janis Fliegenschmidt4 Author Orcid Image ;   Nikolai Hulde4 Author Orcid Image ;   Vera von Dossow4 Author Orcid Image ;   Laurent Meesseman1 Author Orcid Image ;   Kristof Depraetere1 Author Orcid Image ;   Joerg Stieg1 Author Orcid Image ;   Ralph Szymanowsky1 Author Orcid Image ;   Fried-Michael Dahlweid1 Author Orcid Image
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  2. Li Y, Wang B. Machine learning-based prediction of atherosclerotic cardiovascular disease risk in adults with diabetes or prediabetes. BMC Cardiovascular Disorders 2025;26(1) View
  3. Zhang X, Wang A, Xu R, Liu D. Enhancing bronchopulmonary dysplasia prediction in preterm infants using artificial intelligence and multimodal data integration. Frontiers in Pediatrics 2025;13 View

Books/Policy Documents

  1. Sivaprasad A, Reiter E, McLernon D, Tintarev N, Bhattacharya S, Oren N. Artificial Intelligence in Healthcare. View