Machine learning to predict pediatric choledocholithiasis: A Western Pediatric Surgery Research Consortium retrospective study

Machine learning to predict pediatric choledocholithiasis: A Western Pediatric Surgery Research Consortium retrospective study

The purpose of this study was to accurately predict pediatric choledocholithiasis with clinical data using a computational machine learning algorithm. A multicenter retrospective cohort study was performed on children

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Veröffentlicht in:Surgery 2023-10, Vol.174 (4), p.934-939
Hauptverfasser: Floan Sachs, Gretchen, Ourshalimian, Shadassa, Jensen, Aaron R., Kelley-Quon, Lorraine I., Padilla, Benjamin E., Shew, Stephen B., Lofberg, Katrine M., Smith, Caitlin A., Roach, Jonathan P., Pandya, Samir R., Russell, Katie W., Ignacio, Romeo C.
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Sprache:eng
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Zusammenfassung:The purpose of this study was to accurately predict pediatric choledocholithiasis with clinical data using a computational machine learning algorithm. A multicenter retrospective cohort study was performed on children
ISSN:0039-6060
1532-7361
1532-7361
DOI:10.1016/j.surg.2023.07.008