Published on in Vol 2 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/45257, first published
.

Journals
- Kauppi W, Imberg H, Herlitz J, Molin O, Axelsson C, Magnusson C. Advancing a machine learning-based decision support tool for pre-hospital assessment of dyspnoea by emergency medical service clinicians: a retrospective observational study. BMC Emergency Medicine 2025;25(1) View
- BenAbdennour A. A comparative study of neural network architectures for vital signs monitoring based on the national early warning systems (NEWS). Health Informatics Journal 2025;31(2) View
- Garssen S, Oude Wesselink S, Babac S, Nabben D, De Bie Dekker A, Nienhuijs S, Bouwman A, Verhaegh W, Doggen C, Veldkamp B, Amir Haeri M. Detecting early signs of patient deterioration at home using wearable sensors: a personalized anomaly detection approach. Biomedical Physics & Engineering Express 2026;12(2):025058 View
