Published on in Vol 13 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/67859, first published
.

Journals
- Mohamed A, Abdelrehim M, Al-Barazie R. Context matters in machine learning based disease prediction with insights from diverse clinical and symptom data. Scientific Reports 2025;15(1) View
- Mohtasham F, Hashemi Nazari S, Pourhoseingholi M, Kavousi K, Zali M, Huk M. Hybrid feature-selection and diversity-guided stacking framework for interpretable ensemble learning: Application to COVID-19 mortality prediction. PLOS One 2026;21(4):e0341198 View
- Kokkaew E, Koedsin W, Yomsatiankul J, Yomsatieankul W, Jitpeera C, Sakchainanon W. Environmental drivers and machine learning forecasting of leptospirosis: a multi-province study in Thailand. International Journal of Environmental Health Research 2026:1 View
- Sawesi S, Sabbineni H, Shagamreddy R, Rashrash B. Cybersecurity and Privacy Risks of Generative AI Mental-Health Chatbots: A Systematic Review and Regulatory Framework. Journal of Multidisciplinary Healthcare 2026;Volume 19:1 View
- Arivazhagan A, Rajendran V, Vinodkumar K, Vinodhkumar K, Premkumar D, Chawhan P, Lepcha N, Kumar B, Suresh K, Gulati B, Balamurugan V. Spatio-temporal ensemble machine learning forecasts of animal leptospirosis in enzootic Indian States using integrated environmental predictors. Veterinary Research Communications 2026;50(4) View
