Cargando…
Uncertainty quantification in breast cancer risk prediction models using self-reported family health history
Introduction. Family health history (FHx) is an important factor in breast and ovarian cancer risk assessment. As such, multiple risk prediction models rely strongly on FHx data when identifying a patient’s risk. These models were developed using verified information and when translated into a clini...
Autores principales: | Pflieger, Lance T., Mason, Clinton C., Facelli, Julio C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5483939/ https://www.ncbi.nlm.nih.gov/pubmed/28670484 http://dx.doi.org/10.1017/cts.2016.9 |
Ejemplares similares
-
Patient-Centered Network of Learning Health Systems: Developing a resource for clinical translational research
por: Finney Rutten, L. J., et al.
Publicado: (2017) -
Rapid clinical diagnostic variant investigation of genomic patient sequencing data with iobio web tools
por: Ward, Alistair, et al.
Publicado: (2018) -
The innovation scorecard for continuous improvement applied to translational science
por: Kotarba, Joseph A., et al.
Publicado: (2017) -
Effectiveness and cost of recruiting healthy volunteers for clinical research studies using an electronic patient portal: A randomized study
por: Samuels, Mary H., et al.
Publicado: (2018) -
Maintenance efficacy designs in psychiatry: Randomized discontinuation trials – enriched but not better
por: Ghaemi, S. N., et al.
Publicado: (2017)