DAPNet: multi-view graph contrastive network incorporating disease clinical and molecular associations for disease progression prediction

Table 3 Results of different models on severe pneumonia dataset

Model	Precision	Recall	F1	AUC
LR	0.6843±0.0118	0.6708±0.0097	0.6774±0.0086	0.759±0.0057
RF	0.7691±0.0096	0.7725±0.0111	0.7708±0.008	0.8528±0.0069
SVM	0.7035±0.008	0.637±0.0083	0.6685±0.0071	0.7514±0.0064
MLP	0.7373±0.0082	0.7402±0.0105	0.7387±0.007	0.8215±0.0068
tBNA-PR	0.7732±0.032	0.6532±0.0272	0.7077±0.024	0.7395±0.0244
HiTANet	0.6946±0.0178	0.7274±0.0387	0.7096±0.0119	0.7032±0.0072
DAPNet	0.8265±0.0073	0.8497±0.0066	0.8379±0.0062	0.9172±0.0029

ISSN: 1472-6947