Multi-cohort modeling strategies for scalable globally accessible prostate cancer risk tools

BACKGROUND: Online clinical risk prediction tools built on data from multiple cohorts are increasingly being utilized for contemporary doctor-patient decision-making and validation. This report outlines a comprehensive data science strategy for building such tools with application to the Prostate Bi...

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Detalles Bibliográficos
Autores principales: Tolksdorf, Johanna, Kattan, Michael W., Boorjian, Stephen A., Freedland, Stephen J., Saba, Karim, Poyet, Cedric, Guerrios, Lourdes, De Hoedt, Amanda, Liss, Michael A., Leach, Robin J., Hernandez, Javier, Vertosick, Emily, Vickers, Andrew J., Ankerst, Donna P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6792191/
https://www.ncbi.nlm.nih.gov/pubmed/31615451
http://dx.doi.org/10.1186/s12874-019-0839-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6792191/
https://www.ncbi.nlm.nih.gov/pubmed/31615451
http://dx.doi.org/10.1186/s12874-019-0839-0

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