Exploring Analytical Insights for Understanding and Managing Type2 Diabetes
Keywords:
Prediction, Data Analytics, Machine Learning, Decision making, Classifiers, Accuracy, Type 2 diabetesAbstract
These The frequency of diabetes is surging at an astonishing and concerning pace, and in a survey statistics, by 2040, 640 million people will be a diabetic worldwide, out of which 90% having Type2 diabetes and 10% with Type1 diabetes and Gestational diabetes. World Health Organization (WHO) reported that India ranked second position in the diabetes prevalence. This paper focus on the systematical review and critical analysis of various applications and implications of predictive analytic in the context of Type 2 Diabetes management, highlighting its role in shaping proactive healthcare approaches and the life quality of the affected individuals by this condition get improved. As the prolonged state, diabetes heightens the susceptibility of patients to renal complications, coronary heart diseases, and vascular disorders. Therefore, through a comprehensive examination of studies, methodologies, and real-world implementations, this paper underscores the transformative impact of harnessing predictive analytics for the holistic understanding and management of Type 2 Diabetes.
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