Paper Key : IRJ************855
Author: Kota Akash,Banka Dileep Reddy,Midde Mounesh Yadav,Vangapandu Hemanth Siva Kumar
Date Published: 23 Mar 2025
Abstract
The project focuses on developing a disease prediction system using machine learning algorithms like Nave Bayes, Decision Tree, Random Forest, and KNN to identify the most accurate model. The system predicts diseases based on symptoms and stores patient details in an SQLite database. A chatbot, built using a Decision Tree, assists users by analyzing symptoms and providing disease predictions along with accuracy, definitions, and treatment options. The goal is to offer a virtual doctor-like experience, making healthcare more accessible, especially for individuals with busy schedules or those in remote areas lacking medical facilities.
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