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Table 7 Areas under curves (AUC) of ROC and PRC in different machine learning algorithm

From: Prognosis modelling of adverse events for post-PCI treated AMI patients based on inflammation and nutrition indexes

Types

Machine Learning Algorithm

SR a

RF a

NB a

SR b

RF b

NB b

DT b

ANN b

ROC

0.740

0.675

0.720

0.498

0.475

0.475

0.696

0.783

PRC

0.353

0.225

0.256

0.102

0.102

0.099

0.355

0.479

  1. Note: SR, Stepwise Regression; RF, Random Forest, NB, Naïve Bayes; DT, Decision Tree; ANN, Artificial Neutron Network. a Three reference factors: NLR, PLR, and PNI. b Nine reference factors including NLR, PLR, PNI, LEVF%, age, Killip grade, HR, creatine, and albumin
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BMC Cardiovascular Disorders

ISSN: 1471-2261

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