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Development of an Automatic Rule-Based Algorithm for the Detection of Ovarian Cancer Recurrence From Electronic Health Records.

Sanghee Shiny LeeMyong Cheol LimHyeong In HaMyong Cheol LimHyunsoon Cho
Published in: JCO clinical cancer informatics (2024)
Our rule-based algorithm effectively captured the first OC recurrence from large-scale EHR while closely approximating the recurrence-free survival estimates obtained by conventional retrospective chart reviews. The study findings facilitate large-scale EHR analysis, enhancing clinical research opportunities.
Keyphrases
  • free survival
  • electronic health record
  • deep learning
  • machine learning
  • clinical decision support
  • adverse drug
  • cross sectional