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

Clinical Informatics (1221) Machine Learning (1890) Artificial Intelligence (1925) Clinical Information and Decision Making (1761) Decision Support for Health Professionals (1433) Computer-Aided Diagnosis (206)

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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Journals

  1. Ye Y, Jiang Z, Li S, Lai Z, Dahlweid F, Sun H, Zhang X. SEHPNet: Spectrally enhanced hierarchical patch network for sleep disorder evaluation via respiratory signals. Biomedical Signal Processing and Control 2026;112:108384 View