Publication2025
AI-Based Prediction of Mental Health Using a Reduced DASS-21 Survey: A Case Study on KIIT University Students
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- 2025 3rd Dmiher International Conference on Artificial Intelligence in Healthcare Education and Industry Idicaihei 2025
- Published
- 1 January 2025
- DOI
- 10.1109/idicaihei65991.2025.11377853
- Scopus ID
- 105034722104
- Authors
- 6
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
Machine learning model predicts mental health disorders using DASS-21 screening tool for university students, directly supporting mental health assessment and early intervention capabilities.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
4.4 Substantially increase the number of youth and adults with relevant skills for employment, decent jobs and entrepreneurship
Development and validation of reduced-item diagnostic tool demonstrates skills development in psychometric assessment and AI-enabled mental health screening for educators.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
AI-based mental health prediction system targets student population wellbeing through machine learning screening, addressing psychological distress in young adults.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
Evidence
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “AI-Based Prediction of Mental Health Using a Reduced DASS-21 Survey: A Case Study on KIIT University Students”. Kortex.