Publication2020
A Non-linear Approach for Classifying Malignant Neoplasm Using Dualist Optimization Algorithm
The record
- Type
- Publication
- Date
- 1 January 2020
- Level
- National
- Journal
- Advances in Intelligent Systems and Computing
- Volume
- 990
- Pages
- 583-594
- Published
- 1 January 2020
- DOI
- 10.1007/978-981-13-8676-3_49
- Scopus ID
- 85077124814
- ISSN
- 21945357
- 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
3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being
Non-linear classification framework predicts malignant neoplasm from microarray datasets, directly addressing cancer detection for improved patient outcomes.
- 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
Game theory and machine learning optimization methods contribute to research innovation in computational classification techniques.
- 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-3.2 Digital technology and artificial intelligence
Hybrid computational framework combining game theory with machine learning algorithms advances artificial intelligence research capacity.
- 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. “A Non-linear Approach for Classifying Malignant Neoplasm Using Dualist Optimization Algorithm”. Kortex.