Polytomous diagnosis of ovarian tumors as benign, borderline, primary invasive or metastatic: development and validation of standard and kernel-based risk prediction models

BACKGROUND: Hitherto, risk prediction models for preoperative ultrasound-based diagnosis of ovarian tumors were dichotomous (benign versus malignant). We develop and validate polytomous models (models that predict more than two events) to diagnose ovarian tumors as benign, borderline, primary invasi...

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Detalles Bibliográficos
Autores principales: Van Calster, Ben, Valentin, Lil, Van Holsbeke, Caroline, Testa, Antonia C, Bourne, Tom, Van Huffel, Sabine, Timmerman, Dirk
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2988009/
https://www.ncbi.nlm.nih.gov/pubmed/20961457
http://dx.doi.org/10.1186/1471-2288-10-96

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2988009/
https://www.ncbi.nlm.nih.gov/pubmed/20961457
http://dx.doi.org/10.1186/1471-2288-10-96

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