Publication2021
Application and evaluation of classification model to detect autistic spectrum disorders in children
The record
- Type
- Publication
- Date
- 1 January 2021
- Level
- National
- Journal
- International Journal of Computer Applications in Technology
- Volume
- 65
- Issue
- 4
- Pages
- 368-377
- Published
- 1 January 2021
- DOI
- 10.1504/ijcat.2021.117286
- Scopus ID
- 85114360596
- ISSN
- 09528091
- Authors
- 3
- Open access
- No
- Citations
- 61
- 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
3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being
Machine learning classification model for detecting autism spectrum disorder in children enables early diagnosis and intervention for neurodevelopmental conditions
- 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
Viksit Bharat @2047
vb-1.2 Health and well-being
Automated diagnostic screening for autism supports health and well-being in children through timely identification and early therapeutic intervention
- 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.
Evidence
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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. “Application and evaluation of classification model to detect autistic spectrum disorders in children”. Kortex.