Publication2022
Mental Health At Work Prediction Using Neural Networks
- Good Health and Well-being
- Decent Work and Economic Growth
- Empowered Indians
The record
- Type
- Publication
- Date
- 1 January 2022
- Level
- National
- Journal
- 8th International Conference on Advanced Computing and Communication Systems Icaccs 2022
- Pages
- 458-461
- Published
- 1 January 2022
- DOI
- 10.1109/icaccs54159.2022.9785283
- Scopus ID
- 85133176480
- Authors
- 6
- Open access
- No
- Citations
- 2
- 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
3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being
Machine learning prediction of workplace mental health outcomes identifies occupational stress factors affecting employee psychological well-being
- 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.
- 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
8.8 Protect labour rights and promote safe and secure working environments for all workers
Mental health at work assessment addresses occupational safety and worker protection through early risk identification
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1 Empowered Indians
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. Machine learning prediction of workplace mental health outcomes identifies occupational stress factors affecting employee psychological well-being
- 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.
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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. “Mental Health At Work Prediction Using Neural Networks”. Kortex.