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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Impact factor: 8.15

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Paper Title: HealthCare Chatbot
Authors Name: Ansh Jaiswal , Sakshi Verma
Unique Id: IJSDR2305262
Published In: Volume 8 Issue 5, May-2023
Abstract: : Virtual assistant bots, also known as chatbots, are one of the new technologies that will continue to influence our daily lives as machine learning and artificial intelligence demand rises. The evolution of chatbots from menu/button-based to keyword-based to contextual-based is now complete. The most advanced of the aforementioned is contextual based because it makes use of machine learning and artificial intelligence techniques to store and process the training models that enable the chatbot to respond to user queries more appropriately and effectively when they are domain specific. Before visiting a doctor, the idea is to develop a medical chatbot that can identify the illness and provide basic information about it. By using a medical chatbot, this will lower healthcare expenses and increase access to medical information. The chatbots are computer programs that communicate with users by using natural English. The goal of our initiative is to quickly and accurately predict diseases from their symptoms for the users. We have employed the decision tree method for disease prediction. By offering predictive prognosis, chatbots can significantly contribute to the transformation of the healthcare sector.
Keywords: health, chatbot, virtual assistant
Cite Article: "HealthCare Chatbot ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1668 - 1671, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305262.pdf
Downloads: 000337075
Publication Details: Published Paper ID: IJSDR2305262
Registration ID:205745
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 1668 - 1671
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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