Paper Key : IRJ************430
Author: Pilla Mounika
Date Published: 19 Nov 2024
Abstract
This paper presents research on chatbot in the medical domain. The healthcare sector is one of the biggest focus areas worldwide today, as health problems are becoming more common. The primary goal is to use the chatbot concept in the medical industry to inform consumers about doctors, medications, and other related topics. This chatbot works on Artificial intelligence, Machine Learning and Natural Language processing. In a chatbot, we create a connection between the user and the application, where the user can ask questions by typing of health issues, and the chatbot responds with text andor image. This expert system related to chatbot can recommend medications based on a user's symptoms and doctors information. To develop this model, we employ a supervised learning approach, utilizing a multi-turn conversational dataset for training. By this chatbot we can explore about different diseases and can know its cure. Medical chatbot also gives health tips. These Chatbots are very useful and can create awareness among people about medical fields. The proposed chatbot is working with better accuracy. Supervised Machine Learning with classification algorithms have been used. Machine Learning algorithms have been analyzed for disease prediction. The Random Forest Classifier and Support Vector Machine produces the best results.
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