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: | Dhiman, P, Ma, J, Andaur Navarro, CL, Speich, B, Bullock, G, Damen, JAA, Hooft, L, Kirtley, S, Riley, RD, Van Calster, B, Moons, KGM, Collins, GS |
---|---|
Format: | Journal article |
Language: | English |
Published: |
BioMed Central
2022
|
Similar Items
-
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review
by: Dhiman, P, et al.
Published: (2022) -
Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review
by: Dhiman, P, et al.
Published: (2023) -
Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved
by: Dhiman, P, et al.
Published: (2021) -
Risk of bias of prognostic models developed using machine learning: a systematic review in oncology
by: Paula Dhiman, et al.
Published: (2022-07-01) -
Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review
by: Andaur Navarro, CL, et al.
Published: (2021)