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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2023

Applied Computational Intelligence for Breast Cancer Detection

The record

Type
Publication
Date
1 January 2023
Level
International — held abroad
Journal
Lecture Notes in Networks and Systems
Volume
537 LNNS
Pages
435-443
Published
1 January 2023
DOI
10.1007/978-981-99-3010-4_37
Scopus ID
85174734675
ISSN
23673370
Authors
6
Open access
No
Citations
3
International co-authorship
Yes
Co-author countries
BR, 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

  1. 3 Ensure healthy lives and promote well-being for all at all ages

    GoalPrimaryHigh confidenceJudged

    Machine learning techniques (SVM, Random Forest, Bayesian networks) achieve 96.4% accuracy in breast cancer detection from mammography images.

    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

  2. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetSecondaryModerate confidenceJudged

    Computational intelligence application to medical imaging represents innovation in cancer diagnostic technology.

    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

  3. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    Structural signal: co-authorship outside India.

    Rule-derived
    Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
    Produced by
    sdg17-structural-v1, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-1.2 Health and well-being

    Sub-themePrimaryHigh confidenceJudged

    Early cancer detection capability directly improves survival rates and women's health outcomes.

    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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KIIT Deemed to be University. “Applied Computational Intelligence for Breast Cancer Detection”. Kortex.

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