Development and verification of machine learning model based on anogenital distance, penoscrotal distance, and 2D:4D finger ratio before puberty to predict hypospadias classification

Development and verification of machine learning model based on anogenital distance, penoscrotal distance, and 2D:4D finger ratio before puberty to predict hypospadias classification

ObjectivesTo describe the anatomical abnormalities of hypospadias before puberty using current commonly used anthropometric index data and predict postoperative diagnostic classification.MethodsChildren with hypospadias before puberty who were initially treated at Sichuan Provincial People's Ho...

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Bibliographic Details
Main Authors: Zirong He, Bo Yang, Yunman Tang, Xuejun Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Pediatrics
Subjects:
machine learning
hypospadias
anogenital distance
penoscrotal distance
2D:4D finger ratio
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2024.1297642/full

Internet

https://www.frontiersin.org/articles/10.3389/fped.2024.1297642/full

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