Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM 2025)

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Empowering Mental Health Care with AI-Driven Genetic and Sentiment Integration

Authors
Mainak Mitra1, *
1Colorado State University, Fort Collins, CO, 80521, USA
*Corresponding author. Email: Mainak.mitra@colostate.edu
Corresponding Author
Mainak Mitra
Available Online 29 December 2025.
DOI
10.2991/978-94-6463-950-6_7How to use a DOI?
Keywords
Artificial intelligence; Mental health; Genetic conditions; Sentiment analysis; Retrieval-augmented generation; Patient-centric care; Chatbot; Digital health interventions
Abstract

Individuals facing the complex intersection of mental health disorders and genetic conditions encounter significant barriers to effective care and personalized treatment pathways. This paper introduces a pioneering AI-powered platform that integrates advanced sentiment analysis with retrieval-augmented generation (RAG) models to deliver contextually precise, patient-focused information. Leveraging publicly available social discourse data, the system uncovers critical emotional and informational gaps experienced by these patients, informing the design of an interactive question-answering chatbot and a comprehensive knowledge base. Evaluated through a rigorous simulated question set and expert review, this approach demonstrates enhanced accuracy and reduced misinformation in mental health resource delivery. The framework aims to bridge existing healthcare gaps by facilitating self-management and improving access to clinical trials, all while addressing ethical concerns such as privacy and bias. This work signifies a meaningful advancement in digital mental health interventions tailored for genetically influenced psychiatric conditions, setting a foundation for future innovations in patientcentric mental healthcare technology.

Copyright
© 2025 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 the International Conference on Smart Systems and Social Management (ICSSSM 2025)
Series
Advances in Intelligent Systems Research
Publication Date
29 December 2025
ISBN
978-94-6463-950-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-950-6_7How to use a DOI?
Copyright
© 2025 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

risenwbib
TY  - CONF
AU  - Mainak Mitra
PY  - 2025
DA  - 2025/12/29
TI  - Empowering Mental Health Care with AI-Driven Genetic and Sentiment Integration
BT  - Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM 2025)
PB  - Atlantis Press
SP  - 81
EP  - 91
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-950-6_7
DO  - 10.2991/978-94-6463-950-6_7
ID  - Mitra2025
ER  -