Machine Learning Evaluation of Biliary Atresia Patients to Predict Long-Term Outcome after the Kasai Procedure

Machine Learning Evaluation of Biliary Atresia Patients to Predict Long-Term Outcome after the Kasai Procedure

Kasai portoenterostomy (KP) represents the first-line treatment for biliary atresia (BA). The purpose was to compare the accuracy of quantitative parameters extracted from laboratory tests, US imaging, and MR imaging studies using machine learning (ML) algorithms to predict the long-term medical out...

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Bibliographic Details
Main Authors: Martina Caruso, Carlo Ricciardi, Gregorio Delli Paoli, Fabiola Di Dato, Leandro Donisi, Valeria Romeo, Mario Petretta, Raffaele Iorio, Giuseppe Cesarelli, Arturo Brunetti, Simone Maurea
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Bioengineering
Subjects:
artificial intelligence
bilirubin
ultrasound
magnetic resonance
shear-wave elastography
Online Access:https://www.mdpi.com/2306-5354/8/11/152

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