Multi-cohort modeling strategies for scalable globally accessible prostate cancer risk tools
Abstract
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 Biopsy Collaborative Group prostate cancer risk prediction tool.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Oct 15, 2019
- Source ID
- 10.1186/s12874-019-0839-0
Entities
People
- Amanda De Hoedt
- Andrew J. Vickers
- Cedric Poyet
- Donna Ankerst
- Emily Vertosick
- Javier Hernandez
- Johanna Tolksdorf
- Karim Saba
- Lourdes Guerrios
- Michael A Liss
- Michael W Kattan
- Robin J Leach
- Stephen A. Boorjian
- Stephen J. Freedland
Organizations
- Congressionally Directed Medical Research Programs
- National Cancer Institute