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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...
Autores principales: | Hasnain, Zaki, Mason, Jeremy, Gill, Karanvir, Miranda, Gus, Gill, Inderbir S., Kuhn, Peter, Newton, Paul K. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
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 |
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