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

Publication2026

A Convergent Framework of Predictive Learning Intelligence with Secure Blockchain in Healthcare

The record

Type
Publication
Date
1 January 2026
Level
International — held abroad
Journal
Lecture Notes in Networks and Systems
Volume
1498 LNNS
Pages
685-692
Published
1 January 2026
DOI
10.1007/978-981-96-8104-4_45
Scopus ID
105028681900
ISSN
23673370
Authors
6
Open access
No
Citations
0
International co-authorship
Yes
Co-author countries
CN, GB, 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

    GoalPrimaryModerate confidenceJudged

    Machine learning combined with blockchain improves healthcare data integrity, privacy protection, and secure medical information management

    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

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

    TargetSecondaryModerate confidenceJudged

    Integration of ML and blockchain technologies represents research innovation in decentralized computing

    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.

    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.
    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-themePrimaryModerate confidenceJudged

    Healthcare data security framework supports trustworthy medical decision-making systems

    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. “A Convergent Framework of Predictive Learning Intelligence with Secure Blockchain in Healthcare”. Kortex.

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