Design and Development of Diagnostic Chabot for supporting Primary Health Care Systems
Bushra Kidwai, Nadesh Rk
Abstract
Technology is increasingly becoming a massive part of today’s healthcare scenario. Technology has changed the way how patients communicate with doctors and not only that, but also how healthcare is administered. Artificial intelligence and Chabots are two groundbreaking technologies that have changed how patients and doctors perceive healthcare. To make healthcare system more interactive a diagnostic Chabot is designed and developed using latest algorithms in machine learning, decision tree algorithm to help the user to form a diagnosis of their condition based on their symptoms. The system will be fed with information pertaining to various diseases and using NLP, it will be able to understand the user query and give a suitable response. The system can be used for effective information retrieval in a similar manner like siri, alexa etc but the scope will be limited to disease diagnosis.