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

Publication2019

Novel AUD Likelihood detection based on EEG Classification

The record

Type
Publication
Date
1 December 2019
Level
National
Journal
2019 6th IEEE International Conference on Advances in Computing Communication and Control Icac3 2019
Published
1 December 2019
DOI
10.1109/icac347590.2019.9036778
Scopus ID
85083023563
Authors
6
Open access
No
Citations
2
International co-authorship
No
Co-author countries
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. 3.5 Strengthen prevention and treatment of substance abuse, including narcotic drug abuse and harmful use of alcohol

    TargetPrimaryModerate confidenceJudged

    Develops novel machine learning approach using wavelet decomposition and multilayer perceptron to classify EEG signals for detecting genetic alcohol use disorder risk in descendants.

    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

Viksit Bharat @2047

  1. vb-1 Empowered Indians

    ThemePrimaryModerate confidenceJudged

    Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. Develops novel machine learning approach using wavelet decomposition and multilayer perceptron to classify EEG signals for detecting genetic alcohol use disorder risk in descendants.

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

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KIIT Deemed to be University. “Novel AUD Likelihood detection based on EEG Classification”. Kortex.

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