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  Published Paper Details:

  Paper Title

  Authors

  Athulya N,  Jeeshna K,  S J Aadithyan,  U Sreelakshmi,  Hairunizha Alias Nisha Rose

  Keywords

Disease Prediction, Decision Tree Algorithm, Chatbot.

  Abstract


As the demand in Machine Learning and AI keeps growing, new technologies will keep coming in the market which will impact our day-to-day activities, and one such technology is Virtual Assistant Bots or simply Chatbots. Chatbots have evolved from being Menu/Button based, to Keywords based and now Contextual based. The most advanced among all of the above is contextual based because it uses Machine Learning and Artificial Intelligence techniques to store and process the training models which help the chatbot to give better and appropriate response when user asks domain specific questions to the bot. The idea is to create a medical chatbot that can diagnose the disease and provide basic details about the disease before consulting a doctor. This will help to reduce healthcare costs and improve accessibility to medical knowledge through medical chatbot. The chatbots are computer programs that use natural language to interact with users. Our project focuses on providing the users immediate and accurate prediction of the diseases based on their symptoms. For the prediction of diseases, we have used Decision tree algorithm. Chatbots can play a major role in reshaping the healthcare industry by providing predictive diagnosis.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTH020011

  Paper ID - 211920

  Page Number(s) - 65-70

  Pubished in - Volume 9 | Issue 10 | October 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Athulya N,  Jeeshna K,  S J Aadithyan,  U Sreelakshmi,  Hairunizha Alias Nisha Rose,   "HEALTHCARE CHATBOT", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 10, pp.65-70, October 2021, Available at :http://www.ijcrt.org/papers/IJCRTH020011.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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