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....
मुख्य लेखकों: | 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 |
---|---|
स्वरूप: | Journal article |
भाषा: | English |
प्रकाशित: |
BioMed Central
2022
|
समान संसाधन
-
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review
द्वारा: Dhiman, P, और अन्य
प्रकाशित: (2022) -
Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review
द्वारा: Dhiman, P, और अन्य
प्रकाशित: (2023) -
Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved
द्वारा: Dhiman, P, और अन्य
प्रकाशित: (2021) -
Risk of bias of prognostic models developed using machine learning: a systematic review in oncology
द्वारा: Paula Dhiman, और अन्य
प्रकाशित: (2022-07-01) -
Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review
द्वारा: Andaur Navarro, CL, और अन्य
प्रकाशित: (2021)