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Risk of bias of prognostic models developed using machine learning: a systematic review in oncology
61
Zitationen
12
Autoren
2022
Jahr
Abstract
The quality of machine learning based prognostic models in the oncology domain is poor and most models have a high risk of bias, contraindicating their use in clinical practice. Adherence to better standards is urgently needed, with a focus on sample size estimation and analysis methods, to improve the quality of these models.
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