Heart Attack Prediction using Data Mining

H.A.P is a platform where doctors can have second opinions on the patient?s heart condition or its overall condition. This project will provide a platform for all doctors who want to know what the condition their patient?s heart is in. This will save time for doctors who want a second opinion, rathe

Project Title

Heart Attack Prediction using Data Mining

Project Area of Specialization

Artificial Intelligence

Project Summary

H.A.P is a platform where doctors can have second opinions on the patient’s heart condition or its overall condition. This project will provide a platform for all doctors who want to know what the condition their patient’s heart is in. This will save time for doctors who want a second opinion, rather than doing the same test all over again they will just enter the values and a report showing the condition of the heart. H.A.P is a platform where doctors can have second opinions on the patient’s heart condition or its overall condition. This project will provide a platform for all doctors who want to know what the condition their patient’s heart is in. This will save time for doctors who want a second opinion, rather than doing the same test all over again they will just enter the values and a report showing the condition of the heart.

Project Objectives

1.A predictive system to assist the doctors for prediction of heart disease will be developed based on Data Mining Algorithms.

2.Naïve Bayes, ANN and decision tree algorithm will be tested on the Cleveland Database and then will be implemented on the system.

3.Doctors will be able to enter patients data and predict whether the patient is having a heart disease or not.

4.A report will be generated according to the results of patient.

Project Implementation Method

•The prediction system in this work will be implemented using data mining techniques namely, ANN, Decision Tree and Naive Bayes on C# and Python platform.

•Using medical profiles such as gender, blood pressure, chest pain etc., it can detect the likelihood of the occurrence of the heart disease in the patients.The dataset obtained from Cleveland is fed as input into our system

Benefits of the Project

 Doctors will save their time redoing the test to verify their observation.  Users will get instantly complete set of information.Users will have no more need to keep record of every meeting with the doctor. Users can get compiled information about who’s treating them and what treatments have been done and what treatments are being done.Patient’s heart’s condition is given instantly. The beneficiaries of this projects are the doctors and the patients.

Technical Details of Final Deliverable

–Hardware Requirements:

•Windows 10 Pro

• Intel Core i5 4.00 GB RAM

–Software Requirements:

•C# / Python version 3.6.4 or

•Visual Studio 2015

Final Deliverable of the Project

Software System

Type of Industry

Medical

Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com