AI-based Symptom Checker Assistant: A Data-driven Approach For Early Diagnosis And Digital Healthcare Support.

Authors: Dr. Yashveer Singh, Dr. Himanshu Tyagi, Dr.Ashish Saini

Abstract: DR. YASHVEER SINGH DR. HIMANSHU TYAGI Artificial Intelligence (AI) is transforming the healthcare where no other technology has had such a profound impact in treating patients, disease diagnosis, continuously monitoring patients in real time and dispensing medical aid. The AI-Based Symptom Checker Assistant is a new digital health tool that uses machine-learning algorithms to analyze user-provided symptoms and predict what diseases they may have. The purpose of this paper is to describe an AI symptom checker that was designed, implemented, and evaluated using a Random Forest classifier for disease prediction. Natural language input, structured data, automatic pre-processing, and an interactive user interface are some of the features of the system. The proposed model's high accuracy, user-friendly interpretation, and effective real-time response are demonstrated by the experiment results. The topic of AI symptom checkers in open primary health care is brought up, particularly in rural and low-resource regions.

DOI: http://doi.org/10.5281/zenodo.20338811