1. B. Babenko, A. Mitani, I. Traynis, N. Kitade, P. Singh, A. Maa, J. Cuadros, G. S. Corrado, L. Peng, D. R. Webster, A. Varadarajan, N. Hammel, and Y. Liu, “Detecting hidden signs of diabetes in external eye photographs”, Natu. Biom. Engi., arXiv preprint arXiv:2011.11732 (2020).
2. Predicting Diabetes Mellitus With Machine Learning Techniques
3. Serum Uric Acid: A Novel Risk Factor for Gestational Diabetes Mellitus
4. Healthdirect Australia, “Annual Report: Business Highlights”, 2015, available at https://about.healthdirect.gov.au/reports.
5. H. Abbas, L. Alic, M. Rios, M. Abdul-Ghani and K. Qaraqe, “Predicting Diabetes in Healthy Population through Machine Learning” in Proceedings of IEEE 32nd International Symposium on Computer-Based Medical Systems (2019), pp. 567–570.