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Table 1 Prediction performance of MultiSourcDsim in comparison with other three methods on the benchmark set and random set

From: MultiSourcDSim: an integrated approach for exploring disease similarity

Methods

ACC

AUC

F1

MCC

PRE

SEN

SPE

MultiSourcDSim

0.815

0.905

0.684

0.273

0.601

0.750

0.656

HSDN

0.688

0.818

0.409

0.263

0.375

0.450

0.750

MimMiner

0.652

0.836

0.400

0.259

0.334

0.500

0.875

MedNetSim

0.630

0.854

0.391

0.224

0.361

0.425

0.874

  1. The black bold fonts represent the optimal value
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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