ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774


MEDICAL CHATBOT USING MACHINE LEARNING


Abstract

Abstract: - The new healthcare deliverysystem is unaffordably complex, unreliable, and unsustainable. Machine Learning(ML) has revolutionised the way companies and individuals use data to increasesystem performance. Machine learning algorithms can be used by strategists toprocess a variety of organised, unstructured, and semi-structured data. Thistechnology provides a virtual assistant who can communicate with patients intheir native language to understand their symptoms, provide physician advice,and monitor health indicators. In addition, natural language processingalgorithms and deep learning analytics are used to analyse customer reviews andfind the nearest specialist that can help with the user's illness. A deepbilinear similarity model is also proposed in the architecture to enhance thecreated SQL queries used in algorithms and predictions. The system's datacollection algorithm is trained using BERT and SQLOVA models.

Keywords:Personal Healthrecords, Natural Language Understanding, Speech recognition.

Full Text PDF

IMPORTANT DATES 

Submit paper at ijasret@gmail.com

Paper Submission Open For March 2024
UGC indexed in (Old UGC) 2017
Last date for paper submission 30th March, 2024
Deadline Submit Paper any time
Publication of Paper Within 01-02 Days after completing all the formalities
Paper Submission Open For Publication /online Conference 
Publication Fees  
Free for PR Students