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IJSTR >> Volume 8 - Issue 7, July 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

A Literature Review On Chatbots In Healthcare Domain

[Full Text]



Nivedita Bhirud, Subhash Tatale, Sayali Randive, Shubham Nahar



Chatbot, Healthcare Domain, ML (Machine Learning), NLG (Natural Language Generation), NLU (Natural Language Understanding), Smart Communication, Virtual Communicating Friend



Research says 60% of visits to a doctors are for simple small-scale diseases, 80% of which can be cured at home using simple home remedies. These diseases mostly include common cold and cough, headache, abdominal pains, etc. They may be caused due to the changes in the weather, intake of improper diet, fatigue, etc. and can be cured without the intervention of a doctor. There are a number of chatbots which provide services for the healthcare domain. But the problem with these chatbots is that they only provide answers for general healthcare FAQs. That is, these systems are unable to provide a natural communication with the user just as a doctor can. Work is being carried out to enable the chatbots to communicate in a way similar to the communication carried out between two humans. That is, the user must experience the feel of communicating to a person and not to a bot. This makes the chatbot a virtual communicating friend of the user. This type of smart communication (usually used in healthcare counselling) can be achieved by inclusion of NLU, NLP and ML techniques in the conventional scripted chatbots. There are a number of domains wherein the smart chatbots provide their functionalities. This paper briefs about the chatbot system for the healthcare domain. Also, it specifies various NLU, NLG and ML techniques to be incorporated in the chatbot and the comparison of the same.



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