Skip to main content
. 2019 Jan 3;29(4):615–621. doi: 10.1093/eurpub/cky270

Table 2.

Model outcome AUC with confidence interval, ordered by mean AUC

Disease AUC (95% conf. interval) Prevalence in training set per 10 000 persons
Parkinson’s disease .89 (.77–1.00) 15
Diabetes mellitus .87 (.85–.90) 421
Osteoporosis .87 (.81–.92) 103
Heart failure .81 (.74–.88) 82
Chronic obstructive pulmonary disease .79 (.75–.83) 209
Chronic enteritis/colitis ulcerosa .79 (.68–.90) 31
HIV/AIDS .78 (.39–1.00) 4
Asthma .77 (.74–.80) 424
Epilepsy .77 (.66–.87) 41
Coronary heart disease .70 (.66–.74) 255
Visual disorder .69 (.64–.73) 191
Schizophrenia .69 (.48–.89) 10
Rheumatoid arthritis .68 (.60–.76) 66
Dementia .67 (.54–.80) 28
Congenital neurological anomaly .67 (.01–1.00) 3
Multiple sclerosis .66 (.42–.90) 9
Cancer .60 (.56–.64) 264
Chronic alcohol abuse .59 (.49–.69) 45
Depressive disorder .58 (.54–.63) 253
Stroke (including TIA) .57 (.52–.63) 137
Congenital cardiovascular anomaly .57 (.37–.77) 7
Chronic back or neck disorder .56 (.53–.60) 432
Osteoarthritis .56 (.52–.60) 282
Anxiety disorder, neurosis, PTSS .56 (.50–.61) 154
Mental retardation .55 (.36–.74) 13
Hearing disorder .52 (.44–.61) 62
Anorexia .52 (.33–.71) 8
Gastric or duodenal ulcer .50 (.39–.62) 25
Tuberculosis .50 (.06–.94) 2

Legend: First column gives name of chronic disease. Second column gives model outcome of RF-analysis as AUC with 95% confidence interval, in order of decreasing AUC. Third column states prevalence of chronic disease or condition in the training set. (n = 276 723).