Table 3 AUC values of the proposed and alternate methods for the three multimorbidity datasets. Each experiment was executed 100 times and the average values along with the standard deviations are reported.

From: Multimorbidity prediction using link prediction

Method

MM1

MM2

MM3

AUC

AUROC

AUC

AUROC

AUC

AUROC

CN

0.8215 ± 0.0012

0.8329 ± 0.0011

0.8101 ± 0.0018

0.8254 ± 0.0017

0.7584 ± 0.0012

0.7978 ± 0.0010

LCL

0.8184 ± 0.0012

0.8302 ± 0.0011

0.8018 ± 0.0019

0.8179 ± 0.0017

0.7480 ± 0.0011

0.7892 ± 0.0009

RA

0.8201 ± 0.0012

0.8317 ± 0.0011

0.8071 ± 0.0019

0.8227 ± 0.0017

0.7556 ± 0.0012

0.7955 ± 0.0010

AA

0.8207 ± 0.0012

0.8322 ± 0.0011

0.8085 ± 0.0019

0.8239 ± 0.0017

0.7565 ± 0.0012

0.7963 ± 0.0010

CRA

0.8181 ± 0.0012

0.8299 ± 0.0011

0.8012 ± 0.0019

0.8173 ± 0.0017

0.7479 ± 0.0012

0.7892 ± 0.0010

CAA

0.8191 ± 0.0012

0.8309 ± 0.0011

0.8022 ± 0.0019

0.8182 ± 0.0017

0.7482 ± 0.0012

0.7894 ± 0.0010

CPA

0.8205 ± 0.0012

0.8322 ± 0.0011

0.8067 ± 0.0018

0.8224 ± 0.0017

0.7547 ± 0.0012

0.7949 ± 0.0010

JC

0.6340 ± 0.0013

0.6588 ± 0.0012

0.5392 ± 0.0023

0.5768 ± 0.0021

0.5481 ± 0.0018

0.6216 ± 0.0015

PA

0.7975 ± 0.0012

0.8109 ± 0.0011

0.7896 ± 0.0018

0.8065 ± 0.0017

0.7296 ± 0.0010

0.7743 ± 0.0009

CAR

0.8205 ± 0.0012

0.8321 ± 0.0011

0.8067 ± 0.0019

0.8223 ± 0.0017

0.7547 ± 0.0012

0.7949 ± 0.0010

CJC

0.7990 ± 0.0013

0.8123 ± 0.0012

0.7812 ± 0.0020

0.7989 ± 0.0018

0.7330 ± 0.0011

0.7768 ± 0.0009

PRA

0.8483 ± 0.0010

0.8579 ± 0.0010

0.8153 ± 0.0016

0.8303 ± 0.0015

0.7508 ± 0.0010

0.7916 ± 0.0009

PROP

0.8604 ± 0.0010

0.8691 ± 0.0009

0.8420 ± 0.0016

0.8546 ± 0.0015

0.7747 ± 0.0011

0.8115 ± 0.0009

  1. Bold values indicate best performance.