Paper Key : IRJ************313
Author: Divyanshi Singh,Nikki Singh,Richa Singh,Prof. Harshwardhan Kharpate
Date Published: 12 Apr 2024
Abstract
The Multiple Disease Prediction System (MDPS) employing Machine Learning is a groundbreaking tool aimed at revolutionizing healthcare accessibility and efficiency. Traditionally, individuals faced challenges in obtaining timely and cost-effective diagnoses, particularly when distant from medical facilities. Multiple Disease Prediction System addresses these obstacles by leveraging machine learning algorithms, specifically the Random Forest Classifier, to predict risks associated with a vast array of diseases, totalling 170 in number. This comprehensive approach eliminates the need for in-person consultations, allowing users to assess their health risks conveniently from any location.MDPS utilizes a sophisticated architecture, with React.js facilitating the frontend interface, providing users with a seamless and intuitive experience. The backend is powered by Firebase, ensuring secure data management, while the connection between the frontend and machine learning models is facilitated by Flask, a Python framework. Leveraging datasets sourced from reliable repositories, MDPS employs advanced machine learning techniques to provide accurate risk assessments for a diverse range of diseases.The advantages of Multiple Disease Prediction System extend beyond disease prediction, offering users invaluable insights into their health risks across a wide spectrum of ailments.