Machine learning models for predicting post-cystectomy recurrence and survival in bladder cancer patients

Currently in patients with bladder cancer, various clinical evaluations (imaging, operative findings at transurethral resection and radical cystectomy, pathology) are collectively used to determine disease status and prognosis, and recommend neoadjuvant, definitive and adjuvant treatments. We analyz...

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Detalles Bibliográficos
Autores principales: Hasnain, Zaki, Mason, Jeremy, Gill, Karanvir, Miranda, Gus, Gill, Inderbir S., Kuhn, Peter, Newton, Paul K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382101/
https://www.ncbi.nlm.nih.gov/pubmed/30785915
http://dx.doi.org/10.1371/journal.pone.0210976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382101/
https://www.ncbi.nlm.nih.gov/pubmed/30785915
http://dx.doi.org/10.1371/journal.pone.0210976

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