AI for Disease Prediction in Healthcare

The AI for Disease Prediction mini project aims to leverage machine learning algorithms to analyze patient data and predict the likelihood of various diseases. By utilizing historical health records, demographic information, and lifestyle factors, the project implements classification models such as decision trees, random forests, or neural networks to identify patterns and risk factors associated with specific health conditions. The project involves data preprocessing, feature selection, and model evaluation, ultimately creating a user-friendly interface for healthcare professionals. This tool not only enhances early detection of diseases but also supports personalized treatment plans, potentially improving patient outcomes and optimizing healthcare resources.