Predictors of Ovarian Cancer and Endometrial Cancer for Artificial-Intelligence-Based Screening Tools

The goal of this observational study is to explore the possible associated factors of ovarian cancer and endometrial cancer in Indonesia and develop screening tools that could predict the risk of both types of cancerThe specific objectives of the study areElaborating the situation of ovarian and endometrial cancer in IndonesiaExploring the possible clinical, demography and laboratory predictors of these diseasesDevelop artificial-intelligence-based screening tools for both type of cancer based on possible predictorsThis study will utilize the patient registry diagnosed with ovarian and endometrial cancer. We assumed that several demography, clinical, and laboratory predictors might possess good screening performance with higher sensitivity and specificity (>80%).

Inclusion Criteria:Women with gynaecological symptoms but not limited toIrregular menstruationHeavy bleeding during menstruationpelvic painvaginal dischargesudden weight losspain during sexual intercourseWomen who underwent routine gynaecological examinationExclusion Criteria:unable to undergo serial gynaecological follow-up