Data-Driven Analysis of Morbidity and Mortality Disparities Among Individuals with and Without Disabilities Using Machine Learning and Big Data Techniques

This study uses extensive information from government agencies and academic organizations to propose a novel method of studying death and morbidity rates in India. Our focus is on the frequency of different diseases in different age groups, genders, and rural-urban contexts. To provide useful insights, our approach combines sophisticated data visualization methods with predictive analytics models. To investigate particular health trends, users can filter data by state, age group, and other demographics. With the use of this platform, politicians and healthcare professionals should be able to better allocate resources, create well-informed policies, and enhance health outcomes. Our method delivers a comprehensive perspective of present and future health trends by integrating retrospective and predictive analysis, highlighting high-risk regions and people for focused interventions.