Foresight in Health Using Machine Learning

Abstract

Abstract: Our aim to "Foresight in Health Using Machine Learning" is an innovative healthcare analytics project that harnesses historical data, advanced analytics, and machine learning techniques to predict significant human diseases. This project employs a variety of machine learning algorithms, including Decision Tree, Random Forest, Logistic Regression, and Support Vector Machine, to forecast diseases such as Diabetics, Breast cancer, Skin diseases, Liver disease and Heart disease based on user-provided data.The system features a user-friendly interface developed with the Flask framework, guiding end users to input essential details for disease prediction. Once the prediction is generated, immediate output is displayed to the end user in our web, facilitating proactive preventive measures to mitigate the risk of serious illnesses. "Foresight in Health" represents a groundbreaking endeavor aimed at leveraging data-driven insights to enhance healthcare outcomes and promote early intervention in disease management