Validating an ontology-based algorithm to identify patients with Type 2 Diabetes Mellitus in Electronic Health Records

International Journal of Medical Informatics

Volumn 83, Issue 10, 2014, Pages 768-778

  Rahimi, Alireza ^a,b,c   Liaw, Siaw Teng ^a,d   Taggart, Jane ^a   Ray, Pradeep ^c   Yu, Hairong ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b ISFAHAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^c UNIVERSITY OF NEW SOUTH WALES   (Australia)

^d South Western Sydney Local Health District   (Australia)

Author keywords

Diabetes Mellitus; Electronic Health Records; Ontology; SPARQL; Type 2; Validation studies

Indexed keywords

ALGORITHMS; HUMAN COMPUTER INTERACTION; INFORMATION MANAGEMENT; MEDICAL INFORMATION SYSTEMS; ONTOLOGY; RECORDS MANAGEMENT; SEMANTIC WEB; SEMANTICS; UNITS OF MEASUREMENT;

DIABETES MELLITUS; ELECTRONIC HEALTH RECORD; SPARQL; TYPE 2; VALIDATION STUDY;

ITERATIVE METHODS;

ARTICLE; CLASSIFICATION ALGORITHM; CONTINGENCY TABLE; CONTROLLED STUDY; DATA EXTRACTION; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; DIAGNOSTIC TEST ACCURACY STUDY; ELECTRONIC MEDICAL RECORD; GENERAL PRACTICE; GOLD STANDARD; HEALTH PRACTITIONER; HUMAN; INFORMATION PROCESSING; MEDICAL AUDIT; MEDICAL LITERATURE; NON INSULIN DEPENDENT DIABETES MELLITUS; ONTOLOGY; PRACTICE GUIDELINE; PRIORITY JOURNAL; SEMANTICS; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY; ALGORITHM; DIABETES MELLITUS, TYPE 2;

ALGORITHMS; DIABETES MELLITUS, TYPE 2; ELECTRONIC HEALTH RECORDS; HUMANS;

EID: 84929133067     PISSN: 13865056     EISSN: 18728243     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2014.06.002     Document Type: Article

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