ABSTRACT
Our health matters most. A proactive approach to health care is ideal. Since “heart-related problems” usually emerge suddenly, they may be served. Disease is caused by many health variables. Our project forecasts coronary heart disease. Important heart-related data has been considered. Pre-processed data is trained and tested using logistic regression and support vector classifier supervised ML models, and techniques are compared. The backend uses ML. In this model, input features are chosen depending on model correctness. An app like this keeps us informed about our health and helps us adopt healthier habits. Without effective treatment before spreading, many diseases worsen. Proper diet, lifestyle, medication, and exercise can help manage heart disease. Predicting the likelihood of these diseases would help prevent and treat them. Predicting the likelihood of these diseases would help prevent and treat them. The projected outcome can prevent/control these diseases and be a fantastic medical system.
