Risk of bias of prognostic models developed using machine learning: a systematic review in oncology
<strong>Background<br></strong> Prognostic models are used widely in the oncology domain to guide medical decision-making. Little is known about the risk of bias of prognostic models developed using machine learning and the barriers to their clinical uptake in the oncology domain....
Main Authors: | , , , , , , , , , , , |
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Format: | Journal article |
Language: | English |
Published: |
BioMed Central
2022
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