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

Publication2024

Energy-Efficient and Delay Tolerant Prediction of Heart Disease in IoT-Enabled Mist Computing Platforms

The record

Type
Publication
Date
1 January 2024
Level
International — held abroad
Journal
Healthcare Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities
Pages
342-362
Published
1 January 2024
DOI
10.1201/9781032631738-20
Scopus ID
85219123893
Authors
4
Open access
No
Citations
0
International co-authorship
Yes
Co-author countries
IN, NG

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

    Deep learning application for early prediction of cardiac disease using IoT and distributed computing in healthcare.

    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

    Technology-enabled early detection of heart disease for improved patient outcomes and disease prevention.

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

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KIIT Deemed to be University. “Energy-Efficient and Delay Tolerant Prediction of Heart Disease in IoT-Enabled Mist Computing Platforms”. Kortex.

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