Artificial Intelligence based Smart Doctor using Decision Tree Algorithm

TL;DR

This paper presents an AI-powered smart doctor system that uses decision tree algorithms to interact with patients, diagnose health issues, and recommend treatments through a questionnaire-based approach.

Contribution

It introduces a novel AI health diagnosis system utilizing decision trees for symptom analysis and treatment suggestion, enhancing automated medical assistance.

Findings

Effective symptom-based diagnosis using decision trees

Quick and automated medical recommendations

Improved patient interaction through AI system

Abstract

Artificial Intelligence (AI) has already made a huge impact on our current technological trends. Through AI developments, machines are now given power and intelligence to behave and work like human mind. In this research project, we propose and implement an AI based health physician system that would be able to interact with the patient, do the diagnosis and suggest quick remedy or treatment of their problem. A decision tree algorithm is implemented in order to follow a top down searching approach to identify and diagnose the problem and suggest a possible solution. The system uses a questionnaire based approach to query the user (patient) about various Symptoms, based on which a decision is made and a medicine is recommended