Accuracy of phenotyping chronic rhinosinusitis in the electronic health record

American Journal of Rhinology and Allergy

Volumn 28, Issue 2, 2014, Pages 140-144

  Hsu, Joy ^a   Pacheco, Jennifer A ^b   Stevens, Whitney W ^a   Smith, Maureen E ^b   Avila, Pedro C ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ACUTE SINUSITIS; ALGORITHM; ALLERGIC RHINITIS; ARTICLE; ASTHMA; BILLING AND CLAIMS; CHRONIC BRONCHITIS; CHRONIC RHINOSINUSITIS; CLINICAL ASSESSMENT; CONTROLLED STUDY; CURRENT PROCEDURAL TERMINOLOGY; ELECTRONIC MEDICAL RECORD; ENDOSCOPIC SINUS SURGERY; HUMAN; ICD-9; MAJOR CLINICAL STUDY; MEDICAL RECORD REVIEW; NATURAL LANGUAGE PROCESSING; NOSE POLYP; PATIENT CODING; PHENOTYPE; PREDICTIVE VALUE; RESPIRATORY TRACT DISEASE; STANDARD; CHRONIC DISEASE; CLASSIFICATION; COMPUTER ASSISTED TOMOGRAPHY; ECONOMICS; ENDOSCOPY; INTERNATIONAL CLASSIFICATION OF DISEASES; OBSERVER VARIATION; REPRODUCIBILITY; RHINITIS; SINUSITIS;

ALGORITHMS; CHRONIC DISEASE; ELECTRONIC HEALTH RECORDS; ENDOSCOPY; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; NATURAL LANGUAGE PROCESSING; OBSERVER VARIATION; PHENOTYPE; PREDICTIVE VALUE OF TESTS; REFERENCE STANDARDS; REPRODUCIBILITY OF RESULTS; RHINITIS; SINUSITIS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84897127300     PISSN: 19458924     EISSN: 19458932     Source Type: Journal    
DOI: 10.2500/ajra.2014.28.4012     Document Type: Article

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