Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer

HIGHLIGHTS

  • who: Changhee Lee from the Published in partnership with Seoul National University Bundang Hospital have published the research: Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer, in the Journal: (JOURNAL)
  • what: The authors report the application of novel machine_learning approaches to (i) allow "real-time" risk predictions that can be dynamically updated and_(ii) derive temporal clusters of patients with similar future time-to-event outcomes based on their history and new updated observations. The authors show that continuously collected longitudinal follow-up data can be used to . . .

     

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