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Paper Title

Healthcare Chatbot Powered by Machine Learning

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Registration ID: IJNRD_302846

Published ID: IJNRD2501090

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Keywords

Healthcare Chatbot, Machine Learning, Algorithms

Abstract

Getting access to health care is crucial to residing a satisfied and whole some lifestyle. usually, people are unaware of all the signs and symptoms or remedies connected to a specific illness. For younger human beings with the issue, getting a health practitioner's appointment for any fitness issues and coping with telephone calls are most important challenges. they also have to bodily go to the clinic for a taxing examination. through supplying appropriate recommendation on leading a healthy life-style, healthcare/medical chatbots can help address these kinds of issues. The concept is to use Neural Networks to increase a clinical chatbot that may diagnose illnesses and offer popular information approximately them, consisting of while and where to peer a health practitioner. natural language processing strategies, which enable users to publish their concerns about fitness and illnesses, are the muse for the efficacy of medical chatbots. without physically being at the sanatorium or medical institution, the consumer can make use of the chatbot to ask any personal health-related trouble. via using scientific chatbots to provide higher get admission to to clinical facts, this can lower the price of healthcare. A customer sentiment analysis is a part of the program improvement plan.

How To Cite (APA)

Nara. Lalitha, Mr. D.D.D Suribabu, & V Anil Santhosh (January-2025). Healthcare Chatbot Powered by Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(1), a784-a791. https://ijnrd.org/papers/IJNRD2501090.pdf

Issue

Other Publication Details

Paper Reg. ID: IJNRD_302846

Published Paper Id: IJNRD2501090

Research Area: Science and Technology

Author Type: Indian Author

Country: Rajanagaram , Andhra Pradesh , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2501090.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2501090

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