Publication2025
Early Autism Spectrum Disorder Screening In Toddlers: A Comprehensive Stacked Machine Learning Approach
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- International Journal of Computing and Digital Systems
- Volume
- 17
- Issue
- 1
- Published
- 1 January 2025
- DOI
- 10.12785/ijcds/1571010950
- Scopus ID
- 85218092851
- ISSN
- 2210142X
- Authors
- 5
- Open access
- Yes
- Citations
- 11
- 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
3 Ensure healthy lives and promote well-being for all at all ages
Early autism spectrum disorder screening achieving 99.148% accuracy directly addresses health outcome through timely neurodevelopmental disorder detection in toddlers
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Stacked machine learning approach with feature selection research demonstrates novel computational methodology for medical diagnostic classification
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Early ASD detection enables timely intervention improving long-term child development outcomes and family well-being, a core health and well-being contribution
- 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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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Early Autism Spectrum Disorder Screening In Toddlers: A Comprehensive Stacked Machine Learning Approach”. Kortex.