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Table 5 SNF-NN performance comparison with state-of-the-art models for drug-disease interaction prediction on the Cdataset benchmark dataset

From: SNF-NN: computational method to predict drug-disease interactions using similarity network fusion and neural networks

Year Method AUC-ROC AUC-PR
2013 KBMF [59] 0.754 0.134
2016 NRLMF [24] 0.850 0.315
2016 MBiRW [17] 0.813 0.149
2018 DRRS [23] 0.783 0.113
2018 SCMFDD [25] 0.749 0.044
2019 DisDrugPred [26] 0.846 0.234
2020 DRIMC [27] 0.878 0.301
2020 SNF-NN 0.879 0.856
  1. The best value of each evaluation metric is shown in bold