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

Clinical Informatics (1426) Machine Learning (2218) Artificial Intelligence (2323) Clinical Information and Decision Making (2054) Decision Support for Health Professionals (1626) Computer-Aided Diagnosis (277)

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
  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
  4. Ouyang J, Xiao P, Chen J, Dahlweid F, Chen Y, Wei Y, Lai Z. Label-efficient sleep staging from multi-channel EEG with self-supervised contrastive learning and iterative self-distillation. Array 2026;29:100718 View
  5. Fliegenschmidt J, Sasono G, Cabanillas Silva P, Meesseman L, Rezk M, Dahlweid M, Bergmann A, Hulde N, von Dossow V. Predicting kidney injury after cardiac surgery with cardio-pulmonary bypass using machine learning. Frontiers in Digital Health 2026;8 View
  6. Balafkhar R, Baalawi Y, Almashhor A, Alasheq A, Alhebshi O, Mohaini M. Context-Aware adaptive normalization LSTM (CAAN-LSTM) for immunotherapy decision support in cancer clinical data analysis. Journal of Biomedical Informatics 2026;177:105006 View

Books/Policy Documents

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