Literature DB >> 30578121

Optimizing Prostate Cancer Surveillance: Using Data-driven Models for Informed Decision-making.

Brian T Denton1, Sarah T Hawley2, Todd M Morgan3.   

Abstract

Entities:  

Year:  2018        PMID: 30578121     DOI: 10.1016/j.eururo.2018.12.006

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


× No keyword cloud information.
  2 in total

1.  Step-adjusted tree-based reinforcement learning for evaluating nested dynamic treatment regimes using test-and-treat observational data.

Authors:  Ming Tang; Lu Wang; Michael A Gorin; Jeremy M G Taylor
Journal:  Stat Med       Date:  2021-09-07       Impact factor: 2.373

2.  Active surveillance for prostate cancer-will the discoveries of the last 5 years change the future?

Authors:  Monique J Roobol
Journal:  Transl Androl Urol       Date:  2021-06
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.