Predicting prostate cancer-specific mortality using SEER.

Tytuł:: Predicting prostate cancer-specific mortality using SEER.
Autorzy:: Henning GM; Department of Surgery, Washington University School of Medicine, St Louis, MO 63110, USA.
Kim EH; Department of Surgery, Washington University School of Medicine, St Louis, MO 63110, USA. Electronic address: .
Źródło:: The Lancet. Digital health [Lancet Digit Health] 2021 Mar; Vol. 3 (3), pp. e138-e139. Date of Electronic Publication: 2021 Feb 03.
Typ publikacji:: Journal Article; Comment
Język:: English
Imprint Name(s):: Original Publication: [Oxford] : Elsevier Ltd., [2019]-
MeSH Terms:: Data Management*
Prostatic Neoplasms*/diagnosis
Humans ; Machine Learning ; Male
Entry Date(s):: Date Created: 20210207 Date Completed: 20210315 Latest Revision: 20210315
Update Code:: 20240104
DOI:: 10.1016/S2589-7500(21)00020-0
PMID:: 33549514
: Czasopismo naukowe

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Comment on: Lancet Digit Health. 2021 Mar;3(3):e158-e165. (PMID: 33549512)

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