Publication2023
Prediction of Metabolic Disease using Various Multilevel Classification Algorithms and Their Analysis
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- 3rd International Conference on Innovative Mechanisms for Industry Applications Icimia 2023 Proceedings
- Pages
- 224-231
- Published
- 1 January 2023
- DOI
- 10.1109/icimia60377.2023.10425841
- Scopus ID
- 85191806828
- Authors
- 5
- Open access
- No
- Citations
- 1
- 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
Multi-layer classification algorithms predict metabolic syndrome using medical records for early disease identification.
- 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
Viksit Bharat @2047
vb-1.2 Health and well-being
Metabolic disease prediction supports preventive health outcomes and cardiovascular risk management.
- 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. “Prediction of Metabolic Disease using Various Multilevel Classification Algorithms and Their Analysis”. Kortex.