Published on in Vol 26 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/60231, first published
.

Journals
- Lin S, Li S, Fang Y. Interpretable machine learning for depression recognition with spatiotemporal gait features among older adults: a cross-sectional study in Xiamen, China. BMC Geriatrics 2025;25(1) View
- Czyżewski B, Staniszewski J, Staniszewska J, Guth M. Does Increasing Agricultural Efficiency Contribute to Food Security—Trade‐Offs of Value Addition in Crop Production?. Sustainable Development 2025 View
- Spittle A, Marschik P, Adde L, Badawi N, Byrne R, Bos A, Chatelin A, Coughlan J, Fedeli F, Guzzetta A, Ho E, Johnson M, Kwong A, McEwan A, Morgan C, Mughogho A, Murray D, Orlandi S, Peyton C, Prosser L, Ritterband-Rosenbaum A, Tran T, Zhang D, Passmore E. Towards universal early screening for cerebral palsy: a roadmap for automated General Movements Assessment. eClinicalMedicine 2025;86:103379 View
- Zaloumis S, Rajasekhar M, Simpson J. How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms. Malaria Journal 2025;24(1) View
- Vanhove A, Graham B, Titareva T, Udomvisawakul A. Classification Performance of Supervised Machine Learning to Predict Human Resource Management Outcomes: A Meta‐Analysis Using Cross‐Classified Multilevel Modeling. Human Resource Management 2025 View
Books/Policy Documents
- Shchegoleva N, Tonka P, Zalutskaya N. Computational Science and Its Applications – ICCSA 2025 Workshops. View
