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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