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Table 7 Ftp,fp for the different vector sets considered on the balanced dataset DSB under logistic regression

From: Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction

Features set

SVC

RF

LR

Average

baseline

0.8270

0.8533

0.8491

0.8431

+t

0.8239

0.8522

0.8545

0.8435

+c1

0.8235

0.8433

0.8453

0.8245

+c1āˆ’2

0.8254

0.8480

0.8510

0.8415

+c2

0.8348

0.8522

0.8505

0.8458

+dprevent

0.8254

0.8506

0.8479

0.8413

+dtreat

0.8338

0.8472

0.8481

0.8430

+dCI

0.8281

0.8498

0.8460

0.8413

+wa

0.8223

0.8468

0.8545

0.8412

+wi

0.8149

0.8484

0.8501

0.8378

+wm

0.8221

0.8453

0.8458

0.8377

+s

0.8221

0.8522

0.8485

0.8409

+sāˆ—

0.8339

0.8449

0.8514

0.8434

+sāˆ—T

0.8214

0.8492

0.8388

0.8365

+sāˆ—āˆ©

0.8262

0.8521

0.8432

0.8405

+sāˆ—āˆŖ

0.8270

0.8467

0.8445

0.8394

+sāˆ—m

0.8363

0.8547

0.8642

0.8517

+sm

0.8384

0.8541

0.8689

0.8538

+smāˆ©

NA

NA

0.8662

NA

+smāˆŖ

NA

NA

0.8714

NA

  1. Best results entries have been highlighted in bold