Self-Diagnosing Health Care Conversation Bot Using Machine Learning

EasyChair Preprint 15322

Abstract

It is very important to recognize that having the goal in life to be happy and healthy is important for all of us. Seeing a doctor for whatever ailment, which is very difficult in today’s world. The proposed idea is to apply AI in developing a medical conversationbot that can identify an ailment before the patient meets the physician. The key goal of the medical conversationbot is to minimize the consumption of financial resources on health care and to make relevant information more available. There are a few dozen conversationbots, they are dictionaries for patients, providing information about their states and helping people become healthier. The user can take use of a conversationbot’s primary benefit where they can diagnose almost all illness and give basic information. Some patients can even discuss their medical problems with a text-to-text conversationalist diagnostic tool.

Keyphrases: AI, Conversationbot, Health care diagnosis, Medical Health Care diagnosis., machine learning

@booklet{EasyChair:15322,
  author    = {P Velmurgadass and Kushma Kominneni and Mohan Krishna Korrapati and Ranjith Kumar Kariveda and Sandhya Kuncham},
  title     = {Self-Diagnosing Health Care Conversation Bot Using Machine Learning},
  howpublished = {EasyChair Preprint 15322},
  year      = {EasyChair, 2024}}