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. Author manuscript; available in PMC: 2014 Dec 9.
Published in final edited form as: J Biomed Inform. 2014 Jul 15;52:260–270. doi: 10.1016/j.jbi.2014.07.007

Table 2.

Validation-testing sample characteristics

Phenotypes Total Number Female (%) Mean Age3 Years Followup4 (StDev) ICD-9 Diagnosis Count (StDev)
POS1 NEG2 POS1 NEG2 POS1 NEG2
Acute Myocardial Infarction 363 158 199 (38.2%) 73.8 37.9 (9.7) 33.5 (12.2) 1848 (1475) 1384 (1304)
Acute Liver Injury 44 6 23(46%) 69.3 34.9 (10.6) 35.2 (10.0) 1880 (1568) 2550 (951)
Atrial Fibrillation 36 35 31 (44%) 79.8 29.2 (13.1) 31.7 (14.5) 1345 (811) 1468 (1100)
Cataracts 244 110 210 (59.32%) 75.2 39.7 (9.8) 37.9 (11.2) 1395 (1004) 864 (616)
CHF 60 36 51 (52%) 70 35.4 (10.0) 26.1 (13.8) 1614 (1184) 623 (647)
Dementia 303 70 203 (54.4%) 84 36.9 (11.3) 37.4 (8.64) 1579 (980) 1438 (1067)
Type 2 Diabetes 113 52 99 (60%) 67 36.3 (12.3) 34.0 (13.6) 1447 (781) 925 (781)
Diabetic Retinopathy 40 46 39 (45.4%) 71.6 35.1 (12.7) 37.9 (13.8) 2032 (1158) 1614 (1158)
Deep Vein Thrombosis 217 870 614 (56%) 76 38.3 (9.9) 38.9 (10.2) 1947 (1604) 1269 (836)
1

POS indicates Positive examples

2

NEG indicates Negative examples

3

Mean age calculated by (Year of data pull (2012) - Birth Year)

4

Years Follow-up calculated by determining difference between first and last diagnosis date

Note: Phenotype models were validated using these validation cohorts.