Develop prediction model to help forecast advanced prostate cancer patients’ prognosis after surgery using neural network
BackgroundThe effect of surgery on advanced prostate cancer (PC) is unclear and predictive model for postoperative survival is lacking yet.MethodsWe investigate the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) database, to collect clinical features of advanced PC pa...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-03-01
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Series: | Frontiers in Endocrinology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2024.1293953/full |