Machine Learning - Prediction Models - Risk of bias assessment (PROBAST) - Oncology

Tools
Dhiman, Paula, Ma, Jie, Navarro, Constanza L. Andaur, Speich, Benjamin, Bullock, Garrett, Damen, Johanna A.A., Hooft, Lotty, Kirtley, Shona, Riley, Richard D., Van Calster, Ben, Moons, Karel G. M. and Collins, Gary S. (2022) Machine Learning - Prediction Models - Risk of bias assessment (PROBAST) - Oncology.
Data used to inform analysis evaluating the risk of bias of clinical prediction models developed using machine learning methods in the field of Oncology.
Research / Data Type: Other
Creators:
Creators
Email
ORCID
Dhiman, Paula
UNSPECIFIED
ORCID logohttps://orcid.org/0000-0002-0989-0623
Ma, Jie
UNSPECIFIED
UNSPECIFIED
Navarro, Constanza L. Andaur
UNSPECIFIED
UNSPECIFIED
Speich, Benjamin
UNSPECIFIED
UNSPECIFIED
Bullock, Garrett
UNSPECIFIED
UNSPECIFIED
Damen, Johanna A.A.
UNSPECIFIED
UNSPECIFIED
Hooft, Lotty
UNSPECIFIED
UNSPECIFIED
Kirtley, Shona
UNSPECIFIED
UNSPECIFIED
Riley, Richard D.
r.riley@keele.ac.uk
ORCID logohttps://orcid.org/0000-0001-8699-0735
Van Calster, Ben
UNSPECIFIED
UNSPECIFIED
Moons, Karel G. M.
UNSPECIFIED
UNSPECIFIED
Collins, Gary S.
UNSPECIFIED
UNSPECIFIED
Divisions: Faculty of Medicine and Health Sciences > School of Medicine
Collection period:
From
To
17 May 2020
17 May 2021
Date: 7 Jul 2022
Date type: Publication
Keywords: Prediction modelling, Machine learning, Systematic review, Risk of bias
Status: Published
Publisher: Open Science Framework
Contact email address: research.openaccess@keele.ac.uk
DOI: 10.17605/OSF.IO/95AYC
Depositing User: Hannah De'Bell
Date Deposited: 27 Jul 2022 09:49
Revision: 11
Last Modified: 27 Jul 2022 09:49

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