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

Publication2023

Prediction of Heart Attack and Death: Comparison Between 1 DCNN and Conventional ML Approaches

The record

Type
Publication
Date
1 January 2023
Level
International — held abroad
Journal
2023 1st International Conference on Circuits Power and Intelligent Systems Ccpis 2023
Published
1 January 2023
DOI
10.1109/ccpis59145.2023.10291179
Scopus ID
85177578298
Authors
5
Open access
No
Citations
0
International co-authorship
Yes
Co-author countries
IN, IT, US

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

    One-dimensional convolutional neural network for heart attack prediction achieves 99.9% accuracy enabling early detection for prompt treatment intervention and mortality reduction in cardiac patients.

    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

    TargetSecondaryHigh confidenceJudged

    Deep learning model comparison (1DCNN vs conventional ML) for cardiac disease prediction demonstrates research innovation in machine learning diagnostic methodologies.

    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-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryHigh confidenceJudged

    Deep learning and AI application to cardiac disease prediction exemplifies digital technology innovation in healthcare.

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

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KIIT Deemed to be University. “Prediction of Heart Attack and Death: Comparison Between 1 DCNN and Conventional ML Approaches”. Kortex.

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