Model

Heart Failure

COPD

Kidney Disease

AUROC

F1Score

Accuracy

AUROC

F1Score

Accuracy

AUROC

F1Score

Accuracy

Traditional Classification

LR

0.8810

0.8383

0.9048

0.8940

0.8559

0.9206

0.9147

0.8922

0.9335

RF

0.8755

0.8444

0.9173

0.8801

0.8478

0.9202

0.9235

0.9145

0.9491

SVM

0.8424

0.7734

0.8590

0.8400

0.7711

0.8715

0.8940

0.8545

0.9067

Deep Learning

GRU

0.9047

0.8854

0.9357

0.9014

0.8772

0.9349

0.9263

0.9146

0.9485

RETAIN

0.8913

0.8661

0.9251

0.9110

0.8925

0.9431

0.9225

0.9133

0.9485

LSTM

0.9034

0.8827

0.9339

0.9041

0.8812

0.9370

0.9267

0.9164

0.9498

CNN

0.8994

0.8712

0.9260

0.9181

0.8968

0.9444

0.9284

0.9161

0.9491

This Work

${\text{PRIME}}_c$

0.9059

0.8881

0.9374

0.9084

0.8859

0.9399

0.9258

0.9107

0.9455

${\text{PRIME}}_{c^{-}}$

0.8944

0.8709

0.9278

0.9204

0.9005

0.9464

0.9331

0.9201

0.9511

${\text{PRIME}}_r$

0.9126

0.8955

0.9410

0.9052

0.8868

0.9403

0.9276

0.9118

0.9459

${\text{PRIME}}_{r^{-}}$

0.9070

0.8788

0.9295

0.9211

0.9014

0.9468

0.9362

0.9236

0.9530