Proceedings of theInternational Conference on Innovation and Practices in Artificial Intelligence (ICIPAI 2026)

International Conference on Innovation and Practices in Artificial Intelligence (ICIPAI 2026)

📍Roorkee, India🗓️ 15-16 May 2026

Design and Development of a Machine Learning and NLP-Based Healthcare Chatbot for Symptom Analysis, Disease Prediction, and Voice-Enabled Patient Assistance

Authors
Neha Yadav1, *, Altamash Sheikh1
1Deptt. of CSE, Meerut Institute of Engineering and Technology, Meerut, India
*Corresponding author. Email: neha.yadav.mtcs.2024@miet.ac.in
Corresponding Author
Neha Yadav
Available Online 8 October 2026.
DOI
10.2991/978-94-6239-789-7_46How to use a DOI?
Keywords
Healthcare Chatbot; Natural Language Processing (NLP); Health Monitoring; Symptom Analysis; Conversational AI; Digital Healthcare; Patient Assistance
Abstract

Healthcare chatbot using natural language processing for health monitoring and early diagnosis-piloting. Digital medicine is rapidly developing, which has increased the demand for smart systems that provide timely medical assistance and continuous health monitoring. A possible solution is a Natural Language Processing (NLP)-based healthcare chatbot, in which a user can communicate with the system in natural language to report symptoms, seek a doctor consultation, and monitor his/her health status. In this paper, the reader will learn how to develop a healthcare chatbot that employs NLP to understand users’ queries, fetch relevant medical data, and respond accordingly. The proposed system can be used for health monitoring as it enables the users to track their symptoms, basic health advice, drug reminder, and early alerts of potential medical issues. The chatbot will streamline the provision of healthcare services, lessen the burden on healthcare workers, and promote early detection and prevention of diseases by combining conversational intelligence with health monitoring functionalities.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of theInternational Conference on Innovation and Practices in Artificial Intelligence (ICIPAI 2026)
Series
Advances in Intelligent Systems Research
Publication Date
8 October 2026
ISBN
978-94-6239-789-7
ISSN
1951-6851
DOI
10.2991/978-94-6239-789-7_46How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Neha Yadav
AU  - Altamash Sheikh
PY  - 2026
DA  - 2026/10/08
TI  - Design and Development of a Machine Learning and NLP-Based Healthcare Chatbot for Symptom Analysis, Disease Prediction, and Voice-Enabled Patient Assistance
BT  - Proceedings of theInternational Conference on Innovation and Practices in Artificial Intelligence (ICIPAI 2026)
PB  - Atlantis Press
SP  - 692
EP  - 704
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-789-7_46
DO  - 10.2991/978-94-6239-789-7_46
ID  - Yadav2026
ER  -