Development of electronic health record based algorithms to identify individuals with diabetic retinopathy

Abstract Objectives To develop, validate, and implement algorithms to identify diabetic retinopathy (DR) cases and controls from electronic health care records (EHRs). Materials and Methods We developed and validated electronic health record (EHR)-based algorithms to identify DR cases and individual...

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Vydáno v:	Journal of the American Medical Informatics Association : JAMIA Ročník 31; číslo 11; s. 2560 - 2570
Hlavní autoři:	Breeyear, Joseph H, Mitchell, Sabrina L, Nealon, Cari L, Hellwege, Jacklyn N, Charest, Brian, Khakharia, Anjali, Halladay, Christopher W, Yang, Janine, Garriga, Gustavo A, Wilson, Otis D, Basnet, Til B, Hung, Adriana M, Reaven, Peter D, Meigs, James B, Rhee, Mary K, Sun, Yang, Lynch, Mary G, Sobrin, Lucia, Brantley, Milam A, Sun, Yan V, Wilson, Peter W, Iyengar, Sudha K, Peachey, Neal S, Phillips, Lawrence S, Edwards, Todd L, Giri, Ayush
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Oxford University Press 01.11.2024
Témata:	Adult Aged Algorithms Case-Control Studies Diabetes Mellitus, Type 1 - diagnosis Diabetes Mellitus, Type 2 - diagnosis Diabetic Retinopathy - diagnosis Electronic Health Records Female Humans International Classification of Diseases Male Middle Aged algorithm validation algorithm development diabetes complications diabetic retinopathy
ISSN:	1067-5027, 1527-974X, 1527-974X
On-line přístup:	Získat plný text
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