Disease Prediction System

Python Machine Learning Project on Disease Prediction System

This Disease Prediction System Machine Learning Project might be interesting to you if you wish to implement machine learning in medical science. Our project's main goal is to make various disease predictions.

The Project's High Points

By examining patient health information and past medical interventions, the k-mean algorithm is typically utilized to forecast diseases. A classic sickness threat model's prediction usually entails machine learning and a supervised algorithm that prepares the models using labeled guidance data.

The quest to forecast disease based on patient health data and treatment history using machine learning techniques and data mining has persisted for decades. Numerous studies have been conducted on data mining to forecast certain diseases using pathology data or medication characteristics. It can be demonstrated that our new Disease Prediction System Machine Learning Project is a superior remedy for this.

Becoming a doctor requires years of school in many countries. It's a demanding field with a greater entry hurdle, lengthy hours, and large stakes. Therefore, the Prediction System Machine Learning Project has been a major endeavor lately to reduce the labor of physicians and enhance the general proficiency of the machine learning-based health care technique.

Among the use cases are:

With hospitals striving to update patient records and collect increasingly imprecise health data, the Prediction System Machine Learning Project presents a low-hanging fruit opportunity for health scientists to effect change.

Algorithm Used to Predict Disease

• Decision Tree

Static Pages and other sections :

These static pages will be available in project Disease Prediction 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 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.