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Table 6 AMI dataset average ROC AUROC scores with an importance cutoff of 40

From: Leveraging medical context to recommend semantically similar terms for chart reviews

Model

AUROC

Medical-context vector space features

word2vec features

Logistic regression

0.80**

0.73

Random forest

0.75***

0.56

Support vector machine

0.75*

0.71

  1. ***p < 0.001, **p < 0.01, *p < 0.05
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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