Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts - Liao, Katherine P.; Ananthakrishnan, Ashwin N.; Kumar, Vishesh; Xia, Zongqi; Cagan, Andrew; Gainer, Vivian S.; Goryachev, Sergey; Chen, Pei; Savova, Guergana K.; Agniel, Denis; Churchill, Susanne; Lee, Jaeyoung; et al. (PloS one, 2015)
Keywords: Adult; Aged; Algorithms; Analysis; Arthritis; Arthritis, Rheumatoid - complications; Arthritis, Rheumatoid - epidemiology; Arthritis, Rheumatoid - physiopathology; Cardiology; Cardiovascular disease; Cardiovascular diseases; Chronic diseases; Classification; Computerized physician order entry; Coronary artery; Coronary artery disease; Coronary Artery Disease - complications; Coronary Artery Disease - epidemiology; Coronary Artery Disease - physiopathology; Coronary heart disease; Coronary vessels; Diabetes; Diabetes mellitus; Diabetes Mellitus - epidemiology; Diabetes Mellitus - physiopathology; Electronic Health Records; Electronic medical records; Electronic records; Female; Genetic aspects; Genotype & phenotype; Health informatics; Health risks; Heart; Heart diseases; Hospitals; Humans; Hyperlipidemias - complications; Hyperlipidemias - epidemiology; Hyperlipidemias - physiopathology; Inflammatory bowel disease; Inflammatory bowel diseases; Inflammatory Bowel Diseases - complications; Inflammatory Bowel Diseases - epidemiology; Inflammatory Bowel Diseases - physiopathology; Intestine; Laboratories; Male; Medical electronics; Medical records; Medical schools; Middle Aged; Natural Language Processing; Patients; Phenotype; Phenotypes; Population studies; Populations; Rheumatic diseases; Rheumatism; Rheumatoid arthritis; Rheumatoid factor; Rheumatology; Risk analysis; Risk Factors; Sensitivity; Studies; Systematic review; Womens health; United States; United States--US; Massachusetts