Table 2 Data sets description
From: Machine learning with asymmetric abstention for biomedical decision-making
Study population and setting | ||||
|---|---|---|---|---|
Name | Population | Study setting | Data source | Cohort selection |
wdbc | Breast cancer patients | U.S. hospital | Digitized images | Adults |
pc | Prostate cancer patients | U.S. hospital | EHR | Adults |
ctg | Pregnant women | E.U. hospital | Fetal cardiotocograms | Unborn |
Patient demographic characteristics | ||||
|---|---|---|---|---|
Name | Age | Sex | Race | Ethnicity |
wdbc | Not provided | 100% female | Not provided | Not provided |
pc | mean 66.04 y | 100% male | 90.45% white, 9.55% black | Not provided |
ctg | Not provided | Not provided | Not provided | Not provided |