Multiple Disease Prediction System

Abstract

The field of machine learning, a subset of artificial intelligence, has revolutionized numerous industries by enabling predictive analytics on vast datasets. In healthcare, predictive analytics holds great promise for enhancing patient care by providing insights for informed decision-making. Diseases like Parkinson's, diabetes, and heart conditions pose significant global challenges due to delayed detection, often caused by limited medical resources. Early recognition of these ailments is crucial, as late-stage diagnoses can be challenging to treat effectively. To address this gap, this project utilizes machine learning classification algorithms to predict these diseases. A user-friendly medical test web application has been developed to make these predictions accessible to a broad audience, aiming to facilitate early assessments and improve public health outcomes. Keywords— Disease Prediction, Artificial Intelligence, Machine Learning, Classification Algorithms.

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