Published on in Vol 6 , No 1 (2021) :Jan-Mar
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/23364, first published
.

Journals
- Jang B, Kim I. Machine-learning algorithms predict breast cancer patient survival from UK Biobank whole-exome sequencing data. Biomarkers in Medicine 2021;15(16):1529 View
- Fregoso-Aparicio L, Noguez J, Montesinos L, García-García J. Machine learning and deep learning predictive models for type 2 diabetes: a systematic review. Diabetology & Metabolic Syndrome 2021;13(1) View
- Clark S, Lomax N, Morris M, Pontin F, Birkin M. Clustering Accelerometer Activity Patterns from the UK Biobank Cohort. Sensors 2021;21(24):8220 View
- Mistry S, Riches N, Gouripeddi R, Facelli J. Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review. Artificial Intelligence in Medicine 2023;135:102461 View
Books/Policy Documents
- Ibáñez-Redin G, Duarte O, Cagnani G, Oliveira O. Machine Learning for Advanced Functional Materials. View