Machine Learning Model Comparison in the Screening of Cholangiocarcinoma Using Plasma Bile Acids Profiles

Machine Learning Model Comparison in the Screening of Cholangiocarcinoma Using Plasma Bile Acids Profiles

Bile acids (BAs) assessments are garnering increasing interest for their potential involvement in development and progression of cholangiocarcinoma (CCA). Since machine learning (ML) algorithms are increasingly used for exploring metabolomic profiles, we evaluated performance of some ML models for d...

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Bibliographic Details
Main Authors: Davide Negrini, Patrick Zecchin, Andrea Ruzzenente, Fabio Bagante, Simone De Nitto, Matteo Gelati, Gian Luca Salvagno, Elisa Danese, Giuseppe Lippi
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Diagnostics
Subjects:
machine learning
artificial intelligence
bile acids
cholangiocarcinoma
screening
Online Access:https://www.mdpi.com/2075-4418/10/8/551

Internet

https://www.mdpi.com/2075-4418/10/8/551

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