Can data extraction from general practitioners' electronic records be used to predict clinical outcomes for patients with type 2 diabetes?

Informatics in Primary Care

Volumn 20, Issue 2, 2012, Pages 95-102

  Staff, Michael ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Clinical informatics; Diabetes; Life expectancy; Primary care

Indexed keywords

ARTICLE; AUSTRALIA; DATA MINING; DISEASE MANAGEMENT; ELECTRONIC MEDICAL RECORD; FEASIBILITY STUDY; FEMALE; GENERAL PRACTICE; HUMAN; LIFE EXPECTANCY; MALE; METHODOLOGY; MIDDLE AGED; MONTE CARLO METHOD; NON INSULIN DEPENDENT DIABETES MELLITUS; ORGANIZATION AND MANAGEMENT; OUTCOME ASSESSMENT; PILOT STUDY; PROGNOSIS; STATISTICS;

AUSTRALIA; DATA MINING; DIABETES MELLITUS, TYPE 2; DISEASE MANAGEMENT; ELECTRONIC HEALTH RECORDS; FEASIBILITY STUDIES; FEMALE; GENERAL PRACTICE; HUMANS; LIFE EXPECTANCY; MALE; MIDDLE AGED; MONTE CARLO METHOD; OUTCOME ASSESSMENT (HEALTH CARE); PILOT PROJECTS; PROGNOSIS;

MLCS; MLOWN;

EID: 84877812876     PISSN: 14760320     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

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