Machine learning for epithelial ovarian cancer platinum resistance recurrence identification using routine clinical data.

Background: Most epithelial ovarian cancer (EOC) eventually develops recurrence. Identification of high-risk patients can prompt earlier intervention and improve long-term outcomes. We used laboratory and clinical data to create models based on machine learning for EOC platinum resistance recurrence identification.