Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review

Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review

Background: Describe and evaluate the methodological conduct of prognostic prediction models developed using machine learning methods in oncology. Methods: We conducted a systematic review in MEDLINE and Embase between 01/01/2019 and 05/09/2019, for studies developing a prognostic prediction model u...

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Bibliographic Details
Main Authors: Andaur Navarro, C.L (Author), Bullock, G. (Author), Collins, G.S (Author), Damen, J.A.A (Author), Dhiman, P. (Author), Hooft, L. (Author), Kirtley, S. (Author), Ma, J. (Author), Moons, K.G.M (Author), Riley, R.D (Author), Speich, B. (Author), Van Calster, B. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
Subjects:
Bias
human
Humans
machine learning
Machine learning
Machine Learning
methodology
Methodology
Prediction
prognosis
Prognosis
Research Design
statistical bias
Systematic Reviews as Topic
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