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Published Subscription Original Research
Diabetic Risk Prediction Using Machine LearningBy Danavale Vaishnavi Vaishnavi, Malusare Shamal, Dharpale Nikita, Gavhane Sanika, Amol C. Jadhav
Abstract: The global prevalence of Type 2 diabetes has risen dramatically in recent years, posing a serious public health risk. Long-term risk prediction is an important technique for evaluating who is most likely to develop type 2 diabetes. Early detection and response can lead to better management and prevention of diabetes complications. Developing a user-friendly Windows program for long-term Type 2 diabetes risk prediction could revolutionize preventive healthcare due to technological …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 11–17 Read article →