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

Abstract 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...

Full description

Bibliographic Details
Main Authors: Paula Dhiman, Jie Ma, Constanza L. Andaur Navarro, Benjamin Speich, Garrett Bullock, Johanna A. A. Damen, Lotty Hooft, Shona Kirtley, Richard D. Riley, Ben Van Calster, Karel G. M. Moons, Gary S. Collins
Format: Article
Language:English
Published: BMC 2022-04-01
Series:BMC Medical Research Methodology
Subjects:
Prediction
Machine learning
Methodology
Online Access:https://doi.org/10.1186/s12874-022-01577-x

Internet

https://doi.org/10.1186/s12874-022-01577-x

Similar Items