Exploratory Analysis on Personalized Health Assistance during PCOS using Machine Learning Techniques

Journal: GRENZE International Journal of Engineering and Technology
Authors: V Baby, P Anjusha, Jahnavi Nelluri, Cheenuri Preetham, Keerthana Eddi
Volume: 10 Issue: 2
Grenze ID: 01.GIJET.10.2.100_1 Pages: 3420-3429

Abstract

This initiative aims to tackle the complex health challenges presented by Polycystic Ovary Syndrome (PCOS) and Polycystic Ovary Disorder (PCOD) that impact women's wellbeing globally. It provides personalized diet and fitness plans tailored to individual symptoms using machine learning technology. This empowers women to better manage their health, alleviate symptoms, and restore hormonal balance. Additionally, it nurtures a supportive community for networking, sharing experiences, and accessing educational materials to dispel myths and spread awareness of PCOS/PCOD. The overarching goal is to prioritize women's health, circulate knowledge, and drive progress in sustaining healthy lifestyles to better cope with these conditions - working towards a healthier future for women worldwide.

Download Now << BACK

GIJET