Development and Internal Validation of Machine Learning Algorithms for Predicting Subsequent Contralateral Slipped Capital Femoral Epiphysis in Patients With Unilateral Slips

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Publication Details

Journal
Journal of the Pediatric Orthopaedic Society of North America
Published
2025-05-24
DOI
https://doi.org/10.1016/j.jposna.2025.100208
Primary Topic
Hip disorders and treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and Internal Validation of Machine Learning Algorithms for Predicting Subsequent Contralateral Slipped Capital Femoral Epiphysis in Patients With Unilateral Slips

David P. VanEenenaam, Christopher J. DeFrancesco, Eduardo Nilo Vasconcelos Novais, Daniel A. Maranho et al.
Journal of the Pediatric Orthopaedic Society of North America
Hip disorders and treatments
article

Development and Internal Validation of Machine Learning Algorithms for Predicting Subsequent Contralateral Slipped Capital Femoral Epiphysis in Patients With Unilateral Slips

David P. VanEenenaam, Christopher J. DeFrancesco, Eduardo Nilo Vasconcelos Novais, Daniel A. Maranho, Wudbhav N. Sankar, Carter E Hall
article en

Abstract

No abstract available for this paper.
Journal of the Pediatric Orthopaedic Society of North AmericaVol. 12
Boston Children's Hospital (US), Children's Hospital of Philadelphia (US), Boston Children's Museum (US)
Gender equality
Openalex Percentile: Top 80%
Hip disorders and treatments
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