Publication2022
Multiobjective evolutionary algorithm based on decomposition for feature selection in medical diagnosis
The record
- Type
- Publication
- Date
- 1 January 2022
- Level
- National
- Journal
- Predictive Modeling in Biomedical Data Mining and Analysis
- Pages
- 253-293
- Published
- 1 January 2022
- DOI
- 10.1016/b978-0-323-99864-2.00005-6
- Scopus ID
- 85143310254
- Authors
- 3
- Open access
- No
- Citations
- 9
- 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
MOEA/D algorithm for feature selection in medical diagnosis improves machine learning performance on high-dimensional datasets.
- 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
Enhanced diagnostic algorithms support health service delivery and disease prediction.
- 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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- 1
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Citing this record
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KIIT Deemed to be University. “Multiobjective evolutionary algorithm based on decomposition for feature selection in medical diagnosis”. Kortex.