Prevention of Heart Problem Using Artificial Intelligence

摘要

Heart is the most important organ of a human body as it not only circulates oxygen and other vitalnutrients through blood to different parts of the body and helping in the metabolic activities but alsoremoves metabolic wastes. Thus, even a minor problem can affect the whole organism. Hence, researchersare diverting a lot of data analysis work for assisting the doctors to predict the heart problem. So, ananalysis of the data related to different health problems and its functioning can help in predicting with acertain probability for the wellness of this organ. In this paper we have analysed the different prescribeddata of patients from different parts of India. Using this data, we have built a model which gets trainedusing this data and tries to predict whether a new out-of-sample data has a probability of having any heartattack or not. This model can help in the decision making along with the doctor to treat the patient well andcreating a transparency between the doctor and the patient. In the validation set of the data, it’s not onlythe accuracy that the model has to take care, rather the True Positive Rate and False-Negative Rate alongwith the AUC-ROC helps in building/fixing the algorithm inside the model.