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Table 2 Performance of electronic health record algorithms for systemic sclerosis

From: Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record

Algorithm1PPV (%)Sensitivity (%)F-score (%)
ICD-9 codes only
 ≥ 1 count of the ICD-9 code (710.1)5210081
 ≥ 2 counts638874
 ≥ 3 counts797275
 ≥ 4 counts866775
ICD-10 codes only
 ≥ 1 count of the ICD-10 codes (M34*)829488
 ≥ 2 counts849187
 ≥ 3 counts888587
 ≥ 4 counts918588
ICD-9 or ICD-10 codes
 ≥ 1 count529868
 ≥ 2 counts709781
 ≥ 3 counts869490
 ≥ 4 counts919191
ICD-9 code AND ANA positive2
 ≥ 1 count of the ICD-9 codes AND ANA538164
 ≥ 2 counts of the ICD-9 codes AND ANA688174
 ≥ 3 counts of the ICD-9 codes AND ANA847077
 ≥ 4 counts of the ICD-9 codes AND ANA936476
ICD-10 codes AND ANA positive
 ≥ 1 count of the ICD-10 codes AND ANA955368
 ≥ 2 counts AND ANA955368
 ≥ 3 counts AND ANA1005067
 ≥ 4 counts AND ANA1005067
ICD-9 code AND Raynaud’s (RP) keyword
 ≥ 1 count of the ICD-9 code AND RP789084
 ≥ 2 counts AND RP868083
 ≥ 3 counts AND RP926677
 ≥ 4 counts AND RP916073
ICD-9 code, RP, ANA positive
 ≥ 1 count of the ICD-9 code AND ANA OR RP559570
 ≥ 2 counts AND ANA OR RP678976
 ≥ 3 counts AND ANA OR RP857781
 ≥ 4 counts AND ANA OR RP947081
 ≥ 1 count AND ANA AND RP757575
 ≥ 2 counts AND ANA AND RP877580
 ≥ 3 counts AND ANA AND RP946677
 ≥ 4 counts AND ANA AND RP935972
  1. 1All algorithms included at least one or more counts of the SSc ICD-9 (710.1) or ICD-10-CM (M34*) codes for SSc
  2. 2ANA positive (titer ≥ 1:80)