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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主要な著者: Roland Roller (著者), Manuel Mayrdorfer (著者), Wiebke Duettmann (著者), Marcel G. Naik (著者), Danilo Schmidt (著者), Fabian Halleck (著者), Patrik Hummel (著者), Aljoscha Burchardt (著者), Sebastian Möller (著者), Peter Dabrock (著者), Bilgin Osmanodja (著者), Klemens Budde (著者)
フォーマット: 図書
出版事項: Frontiers Media S.A., 2022-10-01T00:00:00Z.
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