Time-dependent personalized prognostic analysis by machine learning in biochemical recurrence after radical prostatectomy: a retrospective cohort study

Time-dependent personalized prognostic analysis by machine learning in biochemical recurrence after radical prostatectomy: a retrospective cohort study

Abstract Background For biochemical recurrence following radical prostatectomy for prostate cancer, treatments such as radiation therapy and androgen deprivation therapy are administered. To diagnose postoperative recurrence as early as possible and to intervene with treatment at the appropriate tim...

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Main Authors: Kodai Sato, Shinichi Sakamoto, Shinpei Saito, Hiroki Shibata, Yasutaka Yamada, Nobuyoshi Takeuchi, Yusuke Goto, Sazuka Tomokazu, Yusuke Imamura, Tomohiko Ichikawa, Eiryo Kawakami
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Cancer
Subjects:
Prostate cancer
Prostatectomy
Recurrence
Machine learning
Prognostic model
Online Access:https://doi.org/10.1186/s12885-024-13203-8
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