Code-based diagnostic algorithms for idiopathic pulmonary fibrosis case validation and improvement

Annals of the American Thoracic Society

Volumn 14, Issue 6, 2017, Pages 880-887

  Ley, Brett ^a   Urbania, Thomas ^b   Husson, Gail ^c   Vittinghoff, Eric ^a   Brush, David R ^b   Eisner, Mark D ^d   Iribarren, Carlos ^c   Collard, Harold R ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b KAISER PERMANENTE   (United States)

^c DIVISION OF RESEARCH   (United States)

^d GENENTECH INC   (United States)

Author keywords

Idiopathic pulmonary fibrosis; Incidence; Prevalence

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; CAUCASIAN; ETHNIC OR RACIAL ASPECTS; FEMALE; FIBROSING ALVEOLITIS; HIGH RISK PATIENT; HUMAN; IDIOPATHIC PULMONARY FIBROSIS ALGORITHM; INCIDENCE; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; PATIENT INFORMATION; PREDICTIVE VALUE; PREVALENCE; SENSITIVITY ANALYSIS; SEX DIFFERENCE; THORAX RADIOGRAPHY; VALIDATION STUDY; VERY ELDERLY; AGE DISTRIBUTION; CALIFORNIA; CODING; FACTUAL DATABASE; INTERNATIONAL CLASSIFICATION OF DISEASES; SEX RATIO; STANDARDS; UNITED STATES;

AGE DISTRIBUTION; AGED; AGED, 80 AND OVER; ALGORITHMS; CALIFORNIA; CLINICAL CODING; DATABASES, FACTUAL; FEMALE; HUMANS; IDIOPATHIC PULMONARY FIBROSIS; INCIDENCE; INTERNATIONAL CLASSIFICATION OF DISEASES; MALE; MIDDLE AGED; SEX DISTRIBUTION; UNITED STATES;

EID: 85020201613     PISSN: 23256621     EISSN: None     Source Type: Journal    
DOI: 10.1513/AnnalsATS.201610-764OC     Document Type: Article

References (15)

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