Disease Predication using Machine Learning

 

Project Overview

It is “Disease Predication” project using Machine Learning. In this System we will predicts the disease based on the information or data which is provided by patient. By entering the symptoms and all other useful information the user can get to know that the patient is suffering from that disease or not. 

 

Problem and Solution Statement

This is very useful for those who are unable to visit hospital, in this case just by giving the information or data the patient can get to know that he/she is suffering from that disease or not. And the hospital can also get benefits from this system by just asking the symptoms from the patient and entering in the system and in just few seconds they can tell that the patient is suffering from the disease or not.

 

Benchmark (How this solution is better?)

The purpose of making this project called “Disease Predication using Machine Learning” is to predict the disease of the patient by using information or data which is given by the patient.  In this we don’t need any knowledge of medical science. All we need to do is enter the details asked and then we can predict the diseas. We will get result within seconds of entering data. We don’t need to wait for the doctor, unlike the traditional method.

 

Implementation strategy

This project will predict the disease by using patient’s symptoms and general information using dataset. This is done by using previous datasets of the hospitals so after comparing it can provide up to 80% accurate result. First, we will collect the data and then prepare dataset.Afterwards, the main feature will be machine learning by using some machine learning algorithms like Decision tree, Random Forest etc. which will predict accurate disease. For this we will use python as a platform.