Identification of Incidental Pulmonary Nodules in Free-text Radiology Reports: An Initial Investigation.
Stud Health Technol Inform
; 216: 1027, 2015.
Article
in En
| MEDLINE
| ID: mdl-26262327
ABSTRACT
Advances in image quality produced by computed tomography (CT) and the growth in the number of image studies currently performed has made the management of incidental pulmonary nodules (IPNs) a challenging task. This research aims to identify IPNs in radiology reports of chest and abdominal CT by Natural Language Processing techiniques to recognize IPN in sentences of radiology reports. Our preliminary analysis indicates vastly different pulmonary incidental findings rates for two different patient groups.
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Collection:
01-internacional
Database:
MEDLINE
Main subject:
Natural Language Processing
/
Radiography, Abdominal
/
Diagnosis, Computer-Assisted
/
Radiology Information Systems
/
Decision Support Systems, Clinical
/
Machine Learning
Type of study:
Diagnostic_studies
/
Prognostic_studies
Limits:
Humans
Country/Region as subject:
America do norte
Language:
En
Journal:
Stud Health Technol Inform
Journal subject:
INFORMATICA MEDICA
/
PESQUISA EM SERVICOS DE SAUDE
Year:
2015
Document type:
Article
Affiliation country:
United States