A Statistical Modelling Approach to Predict Cardiovascular Diseases
Irregularities in normal blood flow from the heart cause several types of cardiovascular diseases, which are commonly known as cardiovascular diseases (CVD). The proposed system comprises the scheme and design of an application which uses an efficient machine learning technique to detect heart disease. It can serve as a very useful tool for patients, and medical students to diagnose heart disease. For diagnosis of fatal physiological conditions and symptoms such as myocardial infarction 24 hours monitoring of patient’s health after transferring from hospital to home is required. Using this system, the patient can enter the current parameters of heart and check whether there is a possibility of having cardiovascular disease in future.