MULTIPLE DISEASE PREDICTION USING MACHINE LEARNING

In this research paper, a prediction system is designed based on machine learning for multiple diseases. The full system uses pre-trained machine learning models to assess the chances of diabetes, heart disease, Parkinson's disease and breast cancer based on the medical input data given by the user. This paper explores how these model(s) can be transformed into a common interface using user friendly software for real-time disease detection for enhanced early diagnosis & medical decision making. Key Words: Machine Learning, Disease Prediction, Streamlit, Healthcare AI, Chronic Diseases