Python Machine Learning Project on Disease Prediction System
If you want to set up machine learning in medical science, in that case, this Disease Prediction System Machine Learning Project may be exciting to you. The primary task of our project is to predict various diseases.
Highlights of the Project
- You may use this project for any type of disease. You can download the dataset from our Learning Repository.
- In our database, there are several prediction tools for you.
- To build up this project, you need to have a basic idea of the random forest.
- You will get a full description of the project.
- Preventative care: Predicting disease epidemic on both the personal and the public level.
- Diagnostic care: Repeatedly classified illustration data, such as x-rays or scans, etc.
- Insurance: Adjust premiums of coverage based on openly available risk factors.
- Decision Tree
- 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
- HTML : Page layout has been designed in HTML
- CSS : CSS has been used for all the desigining part
- 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
- 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.
The k- mean algorithm is generally used to predict diseases analyzing patient health data and treatment history. Prediction by a traditional sickness threat model typically involves a machine learning and some supervised algorithm which uses guidance data with the label for the preparation of the models.
Disease prediction by patient health data and treatment history through machine learning techniques and applying data mining is a continuing struggle for past decades. Lots of works have been done to data mining to pathological data or medicinal profiles to forecast particular diseases. Our new Disease Prediction System Machine Learning Project can be proved as a better solution for this.
In many countries, many years of education are required for becoming a doctor. It’s a challenging field with high stakes, long hours, and a higher barrier to entry. Consequently, Prediction System Machine Learning Project has recently been a significant effort to lessen doctors’ workload and develop the overall competence of the health care method with machine learning.
Uses cases contain:
As hospitals maintain to modernize patient reports and gather more grainy health information, Prediction System Machine Learning Project is the arrival of low-hanging fruit opportunity for health scientists to make a difference.
Algorithm Used to Predict Disease
Static Pages and other sections :
These static pages will be available in project Disease Prediction System
Technology Used in the project Disease Prediction System
We have developed this project using the below technology
Supported Operating System
We can configure this project on following operating system.