Predictive analysis of dominant hand grip strength among young children aged 6–15 years using machine learning techniques: a decision tree and regression analysis

Anthropometric factors played a significant role in hand grip strength. Age, weight, and a larger hand span were found to be significant in impacting male HGS, while BMI, hand length, and palm length contributed to higher grip strength among the girls.

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Publication Details

Journal
Frontiers in Pediatrics
Published
2025-03-19
DOI
https://doi.org/10.3389/fped.2025.1569913
Citations
2
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
2.33
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article

Predictive analysis of dominant hand grip strength among young children aged 6–15 years using machine learning techniques: a decision tree and regression analysis

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2 citations
Frontiers in Pediatrics
Nutrition and Health in Aging
2.33
article

Predictive analysis of dominant hand grip strength among young children aged 6–15 years using machine learning techniques: a decision tree and regression analysis

Ravi Shankar Reddy, Paul Silvian Samuel, Resmi Ann Thomas, Venkata Nagaraj Kakaraparthi, Snehil Dixit, Saeed Mastour Alshahrani
article en
2 citations

Abstract

Anthropometric factors played a significant role in hand grip strength. Age, weight, and a larger hand span were found to be significant in impacting male HGS, while BMI, hand length, and palm length contributed to higher grip strength among the girls.

Frontiers in PediatricsVol. 13
Centennial College (CA), King Khalid University (SA)
Peace, Justice and strong institutions
Openalex Percentile: Top 14%
Nutrition and Health in Aging
2.33
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