Heart Disease Prediction System With Multiple Algorithm

Python Machine Learning Project on Heart Disease Prediction

Heart disease is the leading cause of death for people. New technologies that can prognosticate the disease before it's too late to benefit people and healthcare have been found by many researchers. Research is still being done on these procedures. A faster-emerging artificial intelligence technology is the Heart Disease Prediction System Machine Learning premium projects, which adds several algorithms for heart disease. Several categorization techniques are offered by our project to determine a patient's likelihood of having HD.

The Heart Disease Prediction System Machine Learning Project is a newly developed artificial intelligence application that enhances the effectiveness of specific machine learning from historical data through various analytics and methodologies. It makes it possible for a particular machine to learn from the database and improve performance through experience. Developing an intelligent tool to address a specific issue is beneficial. ML tackled a number of difficult problems that statistical methods are unable to solve. The dynamic algorithms offered by the Heart Disease Prediction System Machine Learning Project enable speedy resolution of a variety of difficult issues. These projects provided an explanation of several problem types, which are divided into three sections. Reinforcement-style, unsupervised, and supervised issues. Classification and regression difficulties are two types of concerns in supervised learning. A clustering-type problem that can solve machine learning methods exists in unattended. Several algorithms are used for different types of problems in the Heart Disease Prediction System Machine Learning Project. The ML project involves the following steps:

• Defines a problem statement.
• Classifying the problem into ML problems.
• Selecting perfect ML algorithms based on their type of problems.
• Collecting and cleaning the data.
• Training a model from data.
• Test the Model from test data
• Evaluate a model from its accuracy.

Developing a Heart Disease Prediction System Machine Learning Project for health workers and hospitals. To research about prediction using different algorithms and find out the

• Important attributes of HD
• To research and study on NB and DT algorithms for comparing accuracy.
• To identify and evaluate the best out of two algorithms.
• To build an HD Prediction Model by utilizing UCI Datasets and deploy the
• Model into a web app

Algorithm Used to Predict Heart Disease

• Logistic Regression
• Random Forest
• Naive Bayse
• KNN(k-nearest neighbours)
• SVM(Support Vector Machine)
• Decision Tree

Static Pages and other sections :

These static pages will be available in project Cricket Ground Booking System

• Home Page with good UI
• Home Page will contain an animated slider for images banner
• About us page will be available which will describe about the project
• Contact us page will be available in the project

Technology Used in the project Heart Disease Prediction System

We have developed this project using the below technology

• HTML : Page layout has been designed in HTML
• CSS : CSS has been used for all the desigining part
• JavaScript : All the validation task and animations has been developed by JavaScript
• Python : All the business logic has been implemented in Python
• MySQL : MySQL database has been used as database for the project
• Django : Project has been developed over the Django Framework

Supported Operating System

We can configure this project on following operating system.

• Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install Python, PIP, Django.
• Linux : We can run this project also on all versions of Linux operating system
• Mac : We can also easily configured this project on Mac operating system.