Medical Chatbot: AI Based Infectious Disease Prediction Model

Abstract

A medical chatbot is an artificial intelligence (AI) application specifically designed to interact with users in a conversational manner, providing medical information, assistance, and guidance. These chatbots are built using natural language processing (NLP) and machine learning techniques to understand user queries and respond with appropriate and relevant answers related to healthcare and medical topics. These chatbots are constructed using a combination of NLP and ML techniques to understand user queries and respond with appropriate and relevant answers related to healthcare and medical topics. The intent is to enhance accessibility to medical knowledge through this innovative solution. Computer applications called chatbots which use natural language to communicate with users. To identify keywords in sentences, make query decisions, and provide answers, these chatbots store information in a database. To obtain accurate prediction and effectiveness of the model, To achieve the conversational style, the technology makes advantage of NLP and using SVM as the primary supervised learning algorithm, it is trained on a large dataset containing labeled symptom descriptions and corresponding infectious disease diagnoses, and SVM classifier predicts the most probable infectious disease related to the recognized symptoms and historical data. The model achieved an impressive accuracy of 97.4%. It provides or helps users with immediate access to reliable and relevant medical information.