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

Publication2022

Multiclass Prediction of Heart Disease Patients Using Big Data Analytics

The record

Type
Publication
Date
1 January 2022
Level
International — held abroad
Journal
Studies in Big Data
Volume
114
Pages
177-193
Published
1 January 2022
DOI
10.1007/978-981-19-5154-1_11
Scopus ID
85138729933
ISSN
21976503
Authors
4
Open access
No
Citations
1
International co-authorship
Yes
Co-author countries
IN, KR

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

    Multi-class machine learning models predict cardiovascular disease severity from patient data, achieving 99.56% accuracy for early intervention and preventive treatment planning.

    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. 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

    AI-enabled cardiovascular disease prediction supports early diagnosis and personalized treatment strategies improving patient outcomes and well-being.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Multiclass Prediction of Heart Disease Patients Using Big Data Analytics”. Kortex.

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