Monitoring Body Mass Index (BMI) Pre & Post Covid-19 Outbreak: A Comprehensive study in Healthcare

Ahire, Pritam Ramesh and Priya, K. Ulaga (2024) Monitoring Body Mass Index (BMI) Pre & Post Covid-19 Outbreak: A Comprehensive study in Healthcare. In: 2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon), Pune, India.

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Abstract

A comprehensive health monitoring & analyzing system that provides personalized recommendations, goal setting, and tracking based on relevant factors related to BMI & COVID-19. System aims to analyze attack obesity through prediction, prevention and ongoing monitoring through appropriate predictive analytical system. The system's Risk Assessment component categorizes individuals by their risk levels using factors like age, gender, medical history, and behavior related to pre & post covid-19 related to BMI, then relates appropriate connections in human body. The wellness solution includes features such as fitness tracking, data integration, personalized metrics, and predictive analytics to create a holistic approach for predictive analytics health management. The system healthcare monitoring and analyzing system is a groundbreaking solution that leverages predictive analytics to promote a healthy lifestyle, combat obesity, and enhance overall well-being. By considering a range of factors and employing cutting-edge technology, we empower individuals to take control of their health, achieve their fitness objectives, and mitigate health risks.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science Engineering > Affective Computing
Domains: Computer Science Engineering
Depositing User: Mr IR Admin
Date Deposited: 22 Aug 2025 08:54
Last Modified: 22 Aug 2025 08:54
URI: https://ir.vistas.ac.in/id/eprint/10508

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