Skip to main content

Table 2 Ten most frequently co-occurred “Subject/Object” relationships identified from the corpus of 23,410 image reports

From: Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation

Co-occurrence Pair

Example

Count

Location:Body Part

frontal view:of(Situated_at):vertebral body; lower outer quadrant:of(Modifies):right breast

19,625

Observation:Body Part

erythema:of(Occurs_in):left breast; mass lesion(Occurs_in):in:left breast

15,219

Pathology:Body Part

B-cell lymphoma:of(Occurs_in):breast; fibroadenoma:with(Modifies):tissue

14,904

Medical Activity:Body Part

ultrasound: in(Acts_on):left breast; CT scans: of(Acts_on):skull

13,479

Observation:Pathology

x-ray findings:as(Indicative_of):pleural effusions; all features:of(Indicative_of):fibroadenoma

13,439

Functional Concept:Pathology

outcome:of(Describes):breast cancer; case:of(Related_to): previous DCIS

12,394

Pathology:Pathology

Haemangiomas:are(Be): benign vascular tumors; complications:include(Has):vessel thrombosis

12,119

Medical Activity:Pathology

drainage:confirmed(Shows):breast abscess; mastectomy:for(Acts_on):breast malignancy

11,924

Medical Activity:Observation

Chest x-ray:performed for(Deals_with):chest pain; biopsy:of(Acts_on):small lesion

11,890

Observation:Observation

breast lump:with(Shows):occasional pain; features:of(Shows):benign lesion

11,882