Development and Validation of Dynamic Multivariate Prediction Models of Sexual Function Recovery in Patients with Prostate Cancer Undergoing Radical Prostatectomy: Results from the MUSIC Statewide Collaborative.

Agochukwu-Mmonu, Nnenaya; Murali, Adharsh; Wittmann, Daniela; Denton, Brian; Dunn, Rodney L; Montie, James; Peabody, James; Miller, David; Singh, Karandeep

Agochukwu-Mmonu, Nnenaya; Murali, Adharsh; Wittmann, Daniela; Denton, Brian; Dunn, Rodney L; Montie, James; Peabody, James; Miller, David; Singh, Karandeep.

Afiliação

Agochukwu-Mmonu N; Department of Urology, New York University, New York, NY, USA.
Murali A; Department of Population Health, New York University, New York, NY, USA.
Wittmann D; Providence Health and Services, Rentan, WA, USA.
Denton B; Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA.
Dunn RL; Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA.
Montie J; Department of Industrial and Operations Engineering, University of Michigan College of Engineering, Ann Arbor, MI, USA.
Peabody J; Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA.
Miller D; Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA.
Singh K; Department of Urology, Henry Ford Health System, Detroit, MI, USA.

Eur Urol Open Sci ; 40: 1-8, 2022 Jun.

Article em En | MEDLINE | ID: mdl-35638089

Palavras-chave

Machine learning; Patient education; Prediction model; Prostate cancer; Sexual function

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Eur Urol Open Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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