Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing

Journal of Biomedical Informatics

Volumn 52, Issue , 2014, Pages 386-393

  Yu, Sheng ^a   Kumamaru, Kanako K ^a   George, Elizabeth ^a   Dunne, Ruth M ^a   Bedayat, Arash ^a,b   Neykov, Matey ^c   Hunsaker, Andetta R ^a   Dill, Karin E ^d   Cai, Tianxi ^c   Rybicki, Frank J ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^d UNIVERSITY OF CHICAGO   (United States)

Author keywords

CT pulmonary angiography; Natural language processing; Nested modification structure; NILE; Pulmonary embolism

Indexed keywords

ANGIOGRAPHY; DATA MINING; DISEASES; LEARNING ALGORITHMS;

CLASSIFICATION TASKS; GOLD STANDARDS; NAIVE BAYES CLASSIFIERS; NATURAL LANGUAGE PROCESSING; NILE; PULMONARY EMBOLISM; RECEIVER OPERATING CHARACTERISTIC CURVES; STATISTICAL LEARNING;

NATURAL LANGUAGE PROCESSING SYSTEMS;

ARTICLE; BAYESIAN LEARNING; CHRONICITY; CLASSIFICATION; CLASSIFIER; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; DATA EXTRACTION; DATA MINING; GOLD STANDARD; HUMAN; LEARNING ALGORITHM; LUNG ANGIOGRAPHY; LUNG EMBOLISM; MEDICAL RECORD REVIEW; NATURAL LANGUAGE PROCESSING; PREDICTIVE VALUE; RADIOLOGIST; ALGORITHM; ANGIOGRAPHY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; PROCEDURES; RADIOGRAPHY; RECEIVER OPERATING CHARACTERISTIC;

ALGORITHMS; ANGIOGRAPHY; HUMANS; NATURAL LANGUAGE PROCESSING; PULMONARY EMBOLISM; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; ROC CURVE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84919624289     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2014.08.001     Document Type: Article

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