Table 2 Socio-demographic features used as input.
From: Machine learning based predictors for COVID-19 disease severity
Socio-demographic categorical features | Distribution |
|---|---|
Sex | Male (58.02%), Female (41.98%) |
Pregnant | Yes (2.83%), No (93.87%), Unsure (3.30%) |
Race | American Indian or Alaska Native (0%), Asian (3.77%), Black or African American (5.66%), Native Hawaiian or Other Pacific Islander (0%), White (22.64%), Other (67.92%) |
Ethnicity | Hispanic/Latino (59.43%), Non-Hispanic/Non-Latino (30.66%), Unknown (9.91%) |
International travel | Yes (7.08%), No (92.92%) |
Primary contact | Yes (17.45%), No (40.09%), Unsure (42.45%) |
Secondary contact | Yes (10.38%), No (42.92%), Unsure (46.70%) |
Other contact | Yes (9.91%), No (41.04%), Unsure (49.06%) |
Work contact | Yes (10.84%), No (89.16%) |
