Disease identification

Abstract

The purpose of the project ‘Disease Identification Model’ is to develop an automated system for identifying diseases based on symptoms. The system will use machine learning algorithms to analyze and interpret the data provided by patients and make accurate predictions about the underlying condition. The system will be designed to provide an efficient and reliable method for disease Prognosis, reducing the time and cost associated with traditional methods. By incorporating medical expertise and utilizing the latest technology, this project aims to improve the accuracy and speed of disease identification, and ultimately improve patient outcomes. The project is deployed as a web app for identifying diseases and recommending quick relief medicine by taking input list of symptoms from the user via a questionnaire. The identifications are specific to a small group of diseases where the common symptom is cold and fever, diseases like Typhoid, Jaundice and Cholera. We offer some other disease identifications like identifying if the person is Cardiovascular Disease symptomatic.