Validity problems in clinical machine learning by indirect data labeling using consensus definitions

We demonstrate a validity problem of machine learning in the vital application area of disease diagnosis in medicine. It arises when target labels in training data are determined by an indirect measurement, and the fundamental measurements needed to determine this indirect measurement are included i...

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Hauptverfasser:	Hagmann, Michael, Schamoni, Shigehiko, Riezler, Stefan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Quantitative Biology - Quantitative Methods Statistics - Applications Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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