Prediction of Heart Disease from the Multiple Features Available in the Database by Applying Classification Models of Machine Learning

The provision of customized treatments is one of the key uses of machine learning in the healthcare industry. It enables healthcare providers to offer personalised patient care by looking into people’s medical histories, symptoms, and test results. Doctors can create specialized treatments and administer medications that target ailments in individual people by using ML in medicine and healthcare. Healthcare companies can now get analyses based on patient electronic health information thanks to machine learning (ML). This enables physicians to decide on the appropriate course of treatment for the patient more quickly. In healthcare, machine learning can also assist clinicians in assessing whether a patient is prepared for necessary medication changes. This encourages starting a treatment plan properly. In this research paper, we have used classification models for forecasting the chances of heart disease.