A machine learning approach to predict progression on active surveillance for prostate cancer
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Published:2021-08
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ISSN:1078-1439
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Container-title:Urologic Oncology: Seminars and Original Investigations
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language:en
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Short-container-title:Urologic Oncology: Seminars and Original Investigations
Author:
Nayan MadhurORCID,
Salari Keyan,
Bozzo Anthony,
Ganglberger Wolfgang,
Lu Gordan,
Carvalho Filipe,
Gusev AndrewORCID,
Schneider AdamORCID,
Westover Brandon M.,
Feldman Adam S.ORCID
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2. Extended follow-up for prostate cancer incidence and mortality among participants in the prostate, lung, colorectal and ovarian randomized cancer screening trial;Pinsky;BJU Int,2019
3. Intermediate and longer-term outcomes from a prospective active-surveillance program for favorable-risk prostate cancer;Tosoian;J Clin Oncol,2015
4. 10-year outcomes after monitoring, surgery, or radiotherapy for localized prostate cancer;Hamdy;N Engl J Med,2016
5. EAU-EANM-ESTRO-ESUR-SIOG guidelines on prostate cancer-2020 update. Part 1: screening, diagnosis, and local treatment with curative intent;Mottet;Eur Urol,2021
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