Evaluation of a clinical decision support system for detection of patients at risk after kidney transplantation

Evaluation of a clinical decision support system for detection of patients at risk after kidney transplantation

Patient care after kidney transplantation requires integration of complex information to make informed decisions on risk constellations. Many machine learning models have been developed for detecting patient outcomes in the past years. However, performance metrics alone do not determine practical ut...

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Bibliographic Details
Main Authors: Roland Roller, Manuel Mayrdorfer, Wiebke Duettmann, Marcel G. Naik, Danilo Schmidt, Fabian Halleck, Patrik Hummel, Aljoscha Burchardt, Sebastian Möller, Peter Dabrock, Bilgin Osmanodja, Klemens Budde
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Public Health
Subjects:
kidney transplantation
decision support (DS)
graft failure
machine learning
rejection
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.979448/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.979448/full

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