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Table 9 Example of one extracted rule with varying generalization levels across the three experiments on EHRs

From: Discovering associations between adverse drug events using pattern structures and ontologies

Experiment Rule Support
1 (EHR) { 〈{yohimbine, doxylamine, vancomycin, caffeine}, {ICD 580-629} 〉} →{ 〈{doxylamine, tocainide}, {ICD 280-289} 〉} 5
2 (EHR) { 〈{G04BE, N06BC}, {ICD 580-629} 〉} →{ 〈{R06A}, {ICD 280-289} 〉} 9
3 (EHR) { 〈{G04BE, N06BC}, {ICD 586} 〉, 〈{A02B, N06BC}, {ICD 586} 〉} →{ 〈{R06AA}, {ICD 285.9} 〉} 5
  1. Class labels: A02B is “drugs for peptic ulcer and gastro-oesophagal disease”, G04BE is “drugs used in erectile dysfunction”, N06BC is “xanthine derivatives”, R06A is “antihistamines for systemic use”, R06AA is “aminoalkyl ethers” ICD 280-289 is “diseases of the blood and blood-forming organs”, ICD 285.9 is “anemia, unspecified”, ICD 580-629 is “diseases of the genitourinary system”, ICD 586 is “renal failure, unspecified”. Here, yohimbine belongs to the class G04BE (drugs used in erectile dysfunction), caffeine belongs to the classe N06BC (xanthine derivatives) and doxylamine belongs to the class R06AA (aminoalkyl ethers)