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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 12, DECEMBER 2021

MEDICAL CHATBOT USING MACHINE LEARNING

Prof.G.M.Kadam, Sangameshwar Swami, Harshal Songra, Nitin Patil, Suraj Karpe

DOI: 10.17148/IJARCCE.2021.101219

Abstract: The new healthcare delivery system is unaffordable complex, unreliable, and unsustainable. Machine Learning (ML) has revolutionized the way companies and individuals use data to increase system performance. Machine learning algorithms can be used by strategists to process a variety of organized, unstructured, and semi-structured data. This technology provides a virtual assistant who can communicate with patients in their native language to understand their symptoms, provide physician advice, and monitor health indicators. In addition, natural language processing algorithms and Machine learning analytics are used to analyze customer reviews and find the nearest specialist that can help with the user's illness. A deep bilinear similarity model is also proposed in the architecture to enhance the created SQL queries used in algorithms and predictions.

Keywords: Personal Health records, Natural Language Understanding, Speech recognition,Machine learning

How to Cite:

[1] Prof.G.M.Kadam, Sangameshwar Swami, Harshal Songra, Nitin Patil, Suraj Karpe, “MEDICAL CHATBOT USING MACHINE LEARNING,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.101219