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Table 2 Evaluation results for the classification of normal and abnormal findings extracted from radiological reports

From: Semantic representation of reported measurements in radiology

 

Oncologic data set

Mixed data set

All cases

420

393

True normal

115

86

True abnormal

290

279

False normal

2

2

False abnormal

2

1

Unclassified

11

25

Accuracy

96.4 % (405/420)

92.9 % (365/393)

  1. The oncologic data set contains reports from lymphoma patients; the mixed data set contains reports from diverse medical and surgical patients. ‘True normal’ means that the algorithm correctly classified a finding as normal (accordingly for ‘true abnormal’). ‘False normal’ means that the algorithm falsely classified a finding as normal while the radiologist classified it as abnormal (accordingly for ‘false normal’). The term ‘unclassified’ means that the algorithm was not able to classify the finding