Facilitating validation of prediction models: a comparison of manual and semi-automated validation using registry-based data of breast cancer patients in the Netherlands ...

Abstract Background Clinical prediction models are not routinely validated. To facilitate validation procedures, the online Evidencio platform ( https://www.evidencio.com ) has developed a tool partly automating this process. This study aims to determine whether semi-automated validation can reliably substitute manual validation. Methods Four different models used in breast cancer care were selected: CancerMath, INFLUENCE, Predicted Probability of Axillary Metastasis, and PREDICT v.2.0. Data were obtained from the Netherlands Cancer Registry according to the inclusion criteria of the original... Mehr ...

Verfasser: Steenbeek, Cornelia
Maaren, Marissa
Siesling, Sabine
Witteveen, Annemieke
Verbeek, Xander
Koffijberg, Hendrik
Dokumenttyp: Datenquelle
Erscheinungsdatum: 2019
Verlag/Hrsg.: Figshare
Schlagwörter: Space Science / Medicine / Sociology / FOS: Sociology / 69999 Biological Sciences not elsewhere classified / FOS: Biological sciences / 80699 Information Systems not elsewhere classified / FOS: Computer and information sciences / 19999 Mathematical Sciences not elsewhere classified / FOS: Mathematics / Marine Biology / Plant Biology
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-29167360
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://dx.doi.org/10.6084/m9.figshare.c.4534286