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The research addresses the augmenting prevalence of diseases like diabetes and cardiovascular disease (CVD), which are major global health concerns as per Global Burden of Diseases. It introduces three ML based systems for predicting Type 2 diabetes, CVD, and analyzing their interrelationship. The work incorporates Machine Learning (ML) for early diabetes detection and CVD prediction through feature analysis. It also applies conditional probability and Bayesian analysis to reveal a strong link between diabetes and increased risk of Coronary Heart Disease (CHD). A user-friendly GUI allows users to input data and receive predictive insights. The systems achieved high accuracy 92.54% for diabetes and 99.86% for CHD supporting early diagnosis and timely healthcare intervention.

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Smart Health Surveillance System for Prediction of Type 2 Diabetes, Hypertension and Cardiovascular disease

  • 会议论文

  • 发表日期：

    2026年

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  • Snehanshu Shekhar,
  • Parikshit Kishor Singh,
  • Samarth Bhatt,
  • Dhruvjeet Verma,
  • Prem Chandra Sharma

摘要

The research addresses the augmenting prevalence of diseases like diabetes and cardiovascular disease (CVD), which are major global health concerns as per Global Burden of Diseases. It introduces three ML based systems for predicting Type 2 diabetes, CVD, and analyzing their interrelationship. The work incorporates Machine Learning (ML) for early diabetes detection and CVD prediction through feature analysis. It also applies conditional probability and Bayesian analysis to reveal a strong link between diabetes and increased risk of Coronary Heart Disease (CHD). A user-friendly GUI allows users to input data and receive predictive insights. The systems achieved high accuracy 92.54% for diabetes and 99.86% for CHD supporting early diagnosis and timely healthcare intervention.