K. J. Somaiya

Now-a-days, any age group of people can suffer through heart attack or any other heart disease so there’s need for people to regularly do check-ups. Those check-ups can be costly if they are done directly at the cardiologist or physiologist for their particular test reports generated. So, what we intended to build a system which general clinic doctors can use for their patients for checking chances of getting heart disease by either making them undergo the test in their clinics or from already generated test reports for testing labs. So, we thought to use machine learning algorithms KNN and Logistic regression for computing the entries filled by general doctors of user to be tested. This system finds the final output with help of Cleveland Heart Disease Dataset from UCI machine learning repository and current patient data entries. After the generating final output, it suggests the location of the nearest Clinic or Hospitals in patient’s vicinity. This suggestion feature is mostly for proper educated users who are knowledgeable about their reports parameters and who track their health regularly.