BMC Bioinformatics

Table 1 IDDI-DNN performance compared to machine learning-based methods applied on the gold standard dataset

From: A novel efficient drug repurposing framework through drug-disease association data integration using convolutional neural networks

Method	Accuracy	Precision	Recall	F1-score
DT [44]	0.55	0.88	0.12	0.21
KNN [45]	0.65	0.64	0.68	0.66
QDA [46]	0.64	0.64	0.66	0.65
Linear-SVM [47]	0.70	0.70	0.68	0.69
RBF-SVM [47]	0.53	0.70	0.12	0.20
NF-NN [48]	0.79	0.78	0.81	0.80
IDDI-DNN	0.97	0.69	0.96	0.84

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ISSN: 1471-2105

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