A risk assessment and prediction framework for diabetes mellitus using machine learning algorithms

Author:

Bhat Salliah Shafi,Banu Madhina,Ansari Gufran Ahmad,Selvam Venkatesan

Publisher

Elsevier BV

Subject

Health Informatics,Analytical Chemistry

Reference54 articles.

1. Predicting the development of T1D and identifying its Key Performance Indicators in children; a case-control study in Saudi Arabia;Alazwari;PLoS One,2023

2. Global implications of COVID-19 pandemic on adults' lifestyle behavior: the invisible pandemic of noncommunicable disease;Musa;Int. J. Prev. Med.,2023

3. Prevalence and early prediction of diabetes using machine learning in North Kashmir: a case study of district Bandipora;Bhat;Comput. Intell. Neurosci.,2022

4. Age‐specific associations between the number of co‐morbidities, all‐cause mortality and public direct medical costs in patients with Type 2 diabetes: a retrospective cohort study;Hong;Diabetes Obes. Metabol.,2023

5. Bhat, S. S., & Ansari, G. A. Prediction of diabetes mellitus using machine learning. In Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems (pp. 93-108). CRC Press..

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