Defining disease phenotypes using national linked electronic health records: A case study of atrial fibrillation

PLoS ONE

Volumn 9, Issue 11, 2014, Pages

  Morley, Katherine I ^a,b,c   Wallace, Joshua ^a   Denaxas, Spiros C ^a   Hunter, Ross J ^d   Patel, Riyaz S ^a,e   Perel, Pablo ^a,f   Shah, Anoop D ^a   Timmis, Adam D ^d   Schilling, Richard J ^d   Hemingway, Harry ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b KING'S COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^e UNIVERSITY COLLEGE LONDON HOSPITALS   (United Kingdom)

^f LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DIGOXIN; WARFARIN;

ALGORITHM; ARTICLE; ATRIAL FIBRILLATION; CARDIOVASCULAR RISK; CASE STUDY; DISEASE CLASSIFICATION; ELECTRONIC MEDICAL RECORD; HEART FAILURE; HEART INFARCTION; HUMAN; HYPERTENSION; ICD-10; INFORMATION PROCESSING; PRESCRIPTION; PRIMARY MEDICAL CARE; RISK FACTOR; SECONDARY HEALTH CARE; ADULT; AGED; COHORT ANALYSIS; HOSPITAL; INCIDENCE; MIDDLE AGED; PATHOLOGY; PHENOTYPE; PROPORTIONAL HAZARDS MODEL; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ATRIAL FIBRILLATION; COHORT STUDIES; ELECTRONIC HEALTH RECORDS; HOSPITALS; HUMANS; INCIDENCE; MIDDLE AGED; PHENOTYPE; PROPORTIONAL HAZARDS MODELS; RISK FACTORS;

EID: 84958801628     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0110900     Document Type: Article

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