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Table 4 Comparison of adverse drug prediction models in the literature

From: Prediction of adverse drug reactions based on knowledge graph embedding

Study Drug Features ADRs Label Source AUC all AUC top10
Our work 3632 Drug targets, indications, and ADRs 5589 SIDER 0.86 0.934
Luo et al.[12] 655 Molecular docking (600 proteins) 1533 SIDER 0.84
LaBute et al.[24] 560 Molecular docking (409 proteins) 85 (10 groups) SIDER 0.60–0.69
Bean et al.[13] 524 Drug targets, indications, and ADRs 10 SIDER/EHR 0.92
Cao et al.[25] 746 Structures, gene expressions, and multiple evidences sources 817 SIDER 0.57-0.88
Jamal et al.[26] 928 Chemical, biological, and phenotypic properties 22 SIDER 0.48–1.00
Hu et al.[11] 548 DDI, PPI, drug target and treatment information, chemical structures, and side effects 1318 SIDER 0.84
Dey et al.[10] 1430 Structure information and side effects 1766 SIDER 0.919
  1. A portion of the data were collected from Luo et al. [12];
  2. ADR, adverse drug reaction; AUC, area under the receiver operating characteristic curve;
  3. DDI, drug-drug interaction; PPI, protein-protein interaction;
  4. EHR, Electronic Health Records