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Table 2 Concepts and attributes types included in this study, as well as their distribution in the corpora

From: Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text

Dataset

# Target Concepts

#Attribute Mentions

ShARe-Disorder

17,368

NEG

3599

SUB

191

CON

927

SEV

1286

COU

901

UNC

1348

BDL

8053

i2b2-Medication

8251

DOS

3673

MOD

2752

FRE

3014

DUR

259

REA

537

i2b2-LabTest

7937

VAL

6644