Journal article
Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework
Abstract
The Standardized Reporting of Machine Learning Applications in Urology (STREAM-URO) framework was developed to provide a set of recommendations to help standardize how machine learning studies in urology are reported. This framework serves three purposes: (1) to promote high-quality studies and streamline the peer review process; (2) to enhance reproducibility, comparability, and interpretability of results; and (3) to improve engagement and …
Authors
Kwong JCC; McLoughlin LC; Haider M; Goldenberg MG; Erdman L; Rickard M; Lorenzo AJ; Hung AJ; Farcas M; Goldenberg L
Journal
European Urology Focus, Vol. 7, No. 4, pp. 672–682
Publisher
Elsevier
Publication Date
July 2021
DOI
10.1016/j.euf.2021.07.004
ISSN
2405-4569