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Healthcare Chatbot Using Natural Language Processing for General Disease Prediction Based on Symptoms Provided by Patients
Author Name : Abey Dominic Vaz, Dr. Manju Bargavi S.K
ABSTRACT
For organizations building chatbot-based PC programs for patients and specialists, medical services frameworks have turned into a charming business sector. Medical care framework that collaborates effectively with old individuals/patients to get data, evaluate wellbeing status, and offer help, especially in post-clinic situations or at home. Chatbots assume a vital part in overcoming any issues among patients and specialists by filling in as a basic associate. Chatbots, which are fuelled by AI and AI, are relied upon to decrease medical care costs when utilized instead of people or as a beginning phase in assessing a condition and conveying taking care of oneself proposals. The proposed idea is to make a man-made reasoning based chatbot framework that helps patients in deciding their condition. Indeed, even in extremely complex illnesses where the patient has no information on the indication of ailment, the proposed framework can clarify or gauge the probability of the condition in light of the indication of affliction and give expected cures. This gadget is unbelievably easy to understand and helps the patient in taking the right dose.
Keywords: Artificial Intelligence (AI), Chatbot, Machine Learning (ML), Natural Language Understanding (NLU), tokenization.