Publication2026
Convolutional Adversarial Autoencoder Network (CAAN)-based Automated Health Record Retrieval System Using Iris Images
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- 2026 International Conference on Recent Advancement in Electrical Computer and Communication Technologies Iecct 2026
- Published
- 1 January 2026
- DOI
- 10.1109/iecct68664.2026.11541770
- Scopus ID
- 105042262838
- Authors
- 3
- 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
3.8 Achieve universal health coverage, including financial risk protection and access to essential medicines
Convolutional adversarial autoencoder network using iris biometric identification enables automated emergency healthcare record retrieval with patient verification.
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Biometric authentication and AI-based health system design represents healthcare informatics innovation.
- 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
Automated health record access supports emergency healthcare delivery and patient care.
- 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. “Convolutional Adversarial Autoencoder Network (CAAN)-based Automated Health Record Retrieval System Using Iris Images”. Kortex.