Care with ML; Heart Disease Prediction

The Care with ML is a machine learning-based trained model that will be helpful for the medical sector to predict heart disease and provide such sort of valuable results and will assist the cardiologists to develop their opinions about heart diseases patients. These days? Cardiovascular diseases are

Project Title

Care with ML; Heart Disease Prediction

Project Area of Specialization

Artificial Intelligence

Project Summary

The Care with ML is a machine learning-based trained model that will be helpful for the medical sector to predict heart disease and provide such sort of valuable results and will assist the cardiologists to develop their opinions about heart diseases patients. These days’ Cardiovascular diseases are the leading cause of death globally and according to the WHO over 17.9 million people died every year due to cardiovascular heart diseases in the world, and around 80% of that get targeted by a heart attack. So, to overcome such a situation and reduce its increment we have decided to train a model on heart diseases, which will use the algorithms Logistic Regression, SVM, and Random Forest to provide predictions before any heart conditions.

Project Objectives

• to effectively predict if the patient suffers from heart disease
• to assists medical professionals/clinicians in preventing the rapid progression of heart disease at an early stage.
• to give real-time heart disease predictions.
• to provide accurate results based on historical data of the patient.
• It helps the doctors to take immediate decisions based on prediction.
• From medical history  diseases can be  in advance by assessing the risk factors of the patient.

Project Implementation Method

Users can create an account to use this web-based ML-enabled system. Users must log in or create an account using their name, email address, and password; after logging in, users can access the account's dashboard. Users may access the predict option through the dashboard; with this option, users can upload the patient's medical background file to forecast heart disorders; after the training and testing data, users can quickly determine if the patient has heart disease or not. If the user is a doctor, he or she can see who can see the requests from users via the dashboard. There is also an admin account that can validate doctors and users, as well as amend and delete their accounts. In our project we are following agile project management methodology named scrum methodology, through this methodology we done work in short cycles called sprints. we meet routinely to discuss current tasks and any potential hurdles in our project.

Benefits of the Project

• Easily predict heart diseases with an ML-enabled system

• Trained with ML algorithms
• It helps the heart suffered patients to diagnose disease on earlier stage.
• It helps the doctors to take the immediate decision based on prediction.
• It enables significant knowledge about patients’ history.
• It can predict and diagnose the heart diseases without need of heavy procedures and equipment
• Easy to use.
• Users friendly.

Technical Details of Final Deliverable

Admin: Admin will have to manage all the administrative tasks like users' authentication, like verification of a user's status as a doctor, updating, deleting, and managing all the user accounts.

Doctor: Doctors will log in as doctors and see the requests from patients, also can negotiate according their diseases.

User: Users can access their dashboard and submit the necessary medical data to predict heart disease, as well as view the recommended doctor's list and institutes.

This system will be based on machine learning algorithms and work as a prediction model to diagnose heart diseases, whether a patient has the disease or not. It can be run in any network environment. In this system, there is a user login panel. There are three types of users in this system.

We have used Logistic Regression, Support Vector Machine and Random Forest, to get the highest accuracy further we also tuned parameters according to our model. 

Final Deliverable of the Project

Software System

Core Industry

Health

Other Industries

IT , Medical , Others

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

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