Heart Disease Prediction
Heart Disease Prediction
- It might have happened so many times that you or someone yours need doctors help immediately, but they are not available due to some reason.
- The Heart Disease Prediction application is an end user support and online consultation project.
- Here, we propose a web application that allows users to get instant guidance on their heart disease through an intelligent system online.
- The application is fed with various details and the heart disease associated with those details.
- The application allows user to share their heart related issues.
- It then processes user specific details to check for various illness that could be associated with it.
- Here we use some intelligent data mining techniques to guess the most accurate illness that could be associated with patient’s details.
- Based on result, system automatically shows the result specific doctors for further treatment.
- The system allows user to view doctor’s details.
- The system can be use in case of emergency.
The system comprises of 2 major modules as follows:
- Admin Module
- Add Training Data
- Add Doctor Details
- View User Details
- View Feedback
- View Doc Details
- View Training Data
- User Module
- Register (With Details like Age, Sex, etc.)
- Check Heart (By providing Details like
- Age in Year
- Gender
- Chest Pain Type
- Fasting Blood Sugar
- Resting Electrographic Results(Restecg)
- Exercise Induced Angina(Exang)
- The slope of the peak exercise ST segment
- CA – Number of major vessels colored by fluoroscopy
- Thal
- Trest Blood Pressure
- Serum Cholesterol
- Maximum heart rate achieved(Thalach)
- ST depression induced by exercise(Oldpeak)
- System will accordingly view Doctor to consult.
- Give Feedback
- View Doctor
Software Requirements:
- Windows 7or higher.
- Sql 2008
- Visual studio 2010
Hardware Components:
- Processor – i3
- Hard Disk – 5 GB
- Memory – 1GB RAM
- Internet Connection
Advantages: –
- User can search for doctor’s help at any point of time.
- User can talk about their Heart Disease and get instant diagnosis.
- Doctors get more clients online.
- Very useful in case of emergency.
Disadvantages:
The system is not fully automated, it needs data from user for full diagnosis.
Application:
This application can be used by all patients or their family members who need help in emergency.
Reference
- http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6864427&newsearch=true&queryText=disease%20prediction
- http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6395001&newsearch=true&queryText=disease%20prediction