An exploration of potential risk factors for gastroschisis using decision tree learning

Despite a wealth of research, the etiology of the abdominal wall defect gastroschisis remains largely unknown. The strongest known risk factor is young maternal age. Our objective was to conduct a hypothesis-generating analysis regarding gastroschisis etiology using random forests. Data were from th...

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Veröffentlicht in:	Annals of epidemiology 2024-12, Vol.101, p.19-26
Hauptverfasser:	Petersen, Julie M., Gradus, Jaimie L., Werler, Martha M., Parker, Samantha E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Congenital abnormalities Decision trees Gastroschisis Machine learning Random forest Risk factors
Online-Zugang:	Volltext
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