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. 2012 Jun;19(e1):e28–e35. doi: 10.1136/amiajnl-2011-000699

Table 2.

Feature comparison—performance of SVM over all versus common ADRs

Feature set ADR_All ADR_50+
AUC ACC Precision Recall AUC ACC Precision Recall
Chem 0.9054 0.9538 0.4337 0.4925 0.7659 0.8268 0.4539 0.5569
Bio 0.9069 0.9543 0.4324 0.5043 0.7729 0.8287 0.4666 0.5521
Pheno 0.9542 0.9678 0.6607 0.6460 0.9175 0.8891 0.6933 0.7142
Chem+bio 0.9098 0.9551 0.4623 0.5008 0.7849 0.8327 0.4776 0.5728
Chem+pheno 0.9526 0.9669 0.6488 0.6443 0.9141 0.8857 0.6757 0.7215
Chem+bio+pheno 0.9524 0.9669 0.6617 0.6306 0.9138 0.8856 0.6750 0.7227

ADR_All considers all ADRs and ADR_50+ are the common ADRs caused by at least 50 drugs. All AUC, ACC, Precision, and Recall are micro-averages across ADRs in the corresponding dataset.

ACC, accuracy; ADR, adverse drug reaction; AUC, area under the receiver operating characteristic curve; Bio, biological property; Chem, chemical structure; Pheno, phenotypic property; SVM, support vector machine.