Virtual Expert – Disease Prediction Using Machine Learning

Virtual Expert – Disease Prediction Using Machine Learning

Prof. Vishal.V.Mahale, Jayashree Patil, Sayama Pathan, Prabodh Narkhede, Yadnika Wagh

Sandip Institute of Engineering and Management

Savitribai Phule Pune University

Nashik, Maharashtra, India

Abstract - The ability to accurately predict diseases based on symptoms plays a crucial role in early diagnosis and effective treatment planning. Machine learning techniques have emerged as valuable tools for disease prediction, leveraging large datasets and advanced algorithms to identify patterns and make accurate predictions. This research paper explores the application of machine learning algorithms in disease prediction using various symptoms as input features. The study aims to analyze different machine learning models and their performance in predicting diseases, highlighting their potential impact on healthcare systems.

Key Words: Predict, SVM, Naïve bayes, CBR, NGO etc.