Publication2023
Clustering Based BMI Indexing for Child Disease Prone-Probability Prediction
The record
- Type
- Publication
- Date
- 1 July 2023
- Level
- National
- Journal
- SN Computer Science
- Volume
- 4
- Issue
- 4
- Published
- 1 July 2023
- DOI
- 10.1007/s42979-023-01823-z
- Scopus ID
- 85160070692
- ISSN
- 2662995X
- Authors
- 3
- 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
3 Ensure healthy lives and promote well-being for all at all ages
Machine learning clustering detects early age obesity in children with 99.7% decision tree accuracy, supporting disease prevention and pediatric health.
- 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
Childhood obesity prevention through data analytics directly supports health and well-being improvement in vulnerable pediatric populations.
- 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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- 1
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Citing this record
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KIIT Deemed to be University. “Clustering Based BMI Indexing for Child Disease Prone-Probability Prediction”. Kortex.