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Table 6 Comparative results of various representation learning methods using different classifiers for mortality prediction

From: Representation learning for clinical time series prediction tasks in electronic health records

 

SVM

RF

GBDT

KNN

LR

NB

PCA

0.602

0.538

0.654

0.566

0.561

0.481

k-means

0.628

0.565

0.570

0.527

0.642

0.500

GMM

0.602

0.637

0.735

0.561

0.649

0.502

RNN-DAE

0.783

0.611

0.697

0.598

0.694

0.516

Hand

0.608

0.637

0.737

0.561

0.649

0.502

  1. The results are measured by AUC
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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