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

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 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