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Medical Chatbot Using Sequence Modelling in Machine Learning

S. Nithish Kumar1 , S.Sujatha 2

  1. Dept. of Computer Applications, University College of Engineering, Anna University, BIT Campus, Tiruchirappalli, India.
  2. Dept. of Computer Applications, University College of Engineering, Anna University, BIT Campus, Tiruchirappalli, India.

Section:Research Paper, Product Type: Journal Paper
Volume-11 , Issue-8 , Page no. 56-64, Aug-2023

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v11i8.5664

Online published on Aug 31, 2023

Copyright © S. Nithish Kumar, S.Sujatha . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S. Nithish Kumar, S.Sujatha, “Medical Chatbot Using Sequence Modelling in Machine Learning,” International Journal of Computer Sciences and Engineering, Vol.11, Issue.8, pp.56-64, 2023.

MLA Style Citation: S. Nithish Kumar, S.Sujatha "Medical Chatbot Using Sequence Modelling in Machine Learning." International Journal of Computer Sciences and Engineering 11.8 (2023): 56-64.

APA Style Citation: S. Nithish Kumar, S.Sujatha, (2023). Medical Chatbot Using Sequence Modelling in Machine Learning. International Journal of Computer Sciences and Engineering, 11(8), 56-64.

BibTex Style Citation:
@article{Kumar_2023,
author = {S. Nithish Kumar, S.Sujatha},
title = {Medical Chatbot Using Sequence Modelling in Machine Learning},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2023},
volume = {11},
Issue = {8},
month = {8},
year = {2023},
issn = {2347-2693},
pages = {56-64},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5608},
doi = {https://doi.org/10.26438/ijcse/v11i8.5664}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v11i8.5664}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5608
TI - Medical Chatbot Using Sequence Modelling in Machine Learning
T2 - International Journal of Computer Sciences and Engineering
AU - S. Nithish Kumar, S.Sujatha
PY - 2023
DA - 2023/08/31
PB - IJCSE, Indore, INDIA
SP - 56-64
IS - 8
VL - 11
SN - 2347-2693
ER -

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Abstract

This project is focused on building a sophisticated chatbot that makes use of cutting-edge Natural Language Processing (NLP) methods to create seamless communication between users and healthcare practitioners. The main objective is to close the communication gap between medical professionals and those looking for quick answers to their health-related questions. The chatbot effectively understands user inputs by analyzing complex language correlations contained in their inquiries by utilizing NLP. Beyond solving the present drawbacks in remote healthcare encounters, this cutting-edge chatbot demonstrates the possibility for predictive diagnosis by spotting patterns in the symptoms that are regularly reported. This idea greatly improves the quality of remote medical consultations by fusing cutting-edge technology with healthcare. Improved patient care and outcomes are made possible by the prompt and accurate responses that are provided.

Key-Words / Index Term

Chat bot, Health care, Natural language processing (NLP), Medical expertise

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