Early Detection of Heart Syndrome Using Machine Learning Technique

Analysis and Prediction of diseases are two most demanding factors to be faced critically by the doctors and data scientist, where data analytics be very delightful issue, so in this regard, many health industries will working on variety of human syndromes, where they generate huge data. Heart disease, cancer, tumour and Alzheimer's disease are one of the chronic human diseases, where data scientist and doctors are doing rapid and efficient analysis on these diseases using many machine learning techniques to study and predict these diseases to save and reduce human deaths. Importance of this article is to predict and analyze the heart related syndrome in patients, based on one of the main feature, like age, where data scientists can do predictive research on big data to early analysis on heart syndrome to save the life of the patients. In this case study many features are well thought-out to do AN analysis and predict of heart diseases in patients, here author checked with prediction of data using many machine learning algorithm are used to verify the performance of syndrome.