Using interpretability approaches to update “black-box” clinical prediction models: an external validation study in nephrology

•There is a dearth of external validation studies, i.e., in a different setting, in clinical predictive modeling.•Machine learning-based prediction models are especially prone to not generalize well in validation studies.•The use of interpretability methods helps to shed light on model performance i...

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Veröffentlicht in:	Artificial intelligence in medicine 2021-01, Vol.111, p.101982, Article 101982
Hauptverfasser:	da Cruz, Harry Freitas, Pfahringer, Boris, Martensen, Tom, Schneider, Frederic, Meyer, Alexander, Böttinger, Erwin, Schapranow, Matthieu-P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acute Kidney Injury - diagnosis Clinical predictive modeling Cohort Studies Hospitals Humans Interpretability methods Machine Learning Nephrology Validation
Online-Zugang:	Volltext
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