ARTIFICIAL INTELLIGENCE BASED HEALTHCARE CHATBOT SYSTEM

Authors

  • Prof. Amar Palwankar Assistant ProfesserDepartment of Information TechnologyFinolex Academy of Management and TechnologyRatnagiri, Maharashtra, India
  • Ms. Priyadarshani A. Satpute Student Department of Information Technology Finolex Academy of Management and TechnologyRatnagiri, Maharashtra, India
  • Mr. Riddhi Dighe Student Department of Information Technology Finolex Academy of Management and TechnologyRatnagiri, Maharashtra, India
  • Ms. Rutuja Bhopale Student Department of Information Technology Finolex Academy of Management and TechnologyRatnagiri, Maharashtra, India

DOI:

https://doi.org/10.17605/OSF.IO/KBSJN

Keywords:

Chatbot, text-to-text diagnosis, pattern matching

Abstract

As time changes, people get more busy in their daily work so many times they ignore their health. In this high age of technology people do not get time to look at their health. For some non-life threatening symptoms many times it may happen that we need not ask for advice from doctor and ignoring such cause can lead to huge problems. So to overcome this situation we are going to introduce the DOC.BOT system which is an Artificial intelligence based Chatbot system which will provide solutions and advice for our daily health.

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References

Survey on Medical Self-Diagnosis Chatbot for Accurate Analysis Using Artificial Intelligence. International Journal of Trend in Research and Development, Volume 5(2), ISSN: 2394-9333 www.ijtrd.com [2]Mobile Based Healthcare Management using Artificial Intelligence. International Journal of Innovative Research in Computer and Communication Engineering (An ISO 3297: 2007 Certified Organization) Vol. 4, Issue 3, March 2016 [3]Using Artificial Intelligence to Improve Hospital Inpatient Care. Editor: Daniel B. Neill, H.J. Heinz III College, Carnegie Mellon University, neill@cs.cmu.edu [4]A Self-Diagnosis Medical Chatbot Using Artificial Intelligence. Journal of Web Development and Web Designing Volume 3 Issue 1 [5]A Medical Chat Bot. International Journal of Computer Trends and Technology (IJCTT) – Volume 60 Issue 1- June 2018 [6]Text-based Healthcare Catboats Supporting Patient and Health Professional Teams: Preliminary Results of a Randomized Controlled Trial on Childhood Obesity. See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/320161507

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Published

2020-06-06

How to Cite

[1]
Prof. Amar Palwankar, Ms. Priyadarshani A. Satpute, Mr. Riddhi Dighe, and Ms. Rutuja Bhopale, “ARTIFICIAL INTELLIGENCE BASED HEALTHCARE CHATBOT SYSTEM”, IEJRD - International Multidisciplinary Journal, vol. 5, no. 5, p. 6, Jun. 2020.

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Articles