Evaluation of an Algorithm for Identifying Ocular Conditions in Electronic Health Record Data

IMPORTANCE: For research involving big data, researchers must accurately identify patients with ocular diseases or phenotypes of interest. Reliance on administrative billing codes alone for this purpose is limiting. OBJECTIVE: To develop a method to accurately identify the presence or absence of ocu...

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Dades bibliogràfiques
Publicat a:JAMA Ophthalmol
Autors principals: Stein, Joshua D., Rahman, Moshiur, Andrews, Chris, Ehrlich, Joshua R., Kamat, Shivani, Shah, Manjool, Boese, Erin A., Woodward, Maria A., Cowall, Jeff, Trager, Edward H., Narayanaswamy, Prabha, Hanauer, David A.
Format: Artigo
Idioma:Inglês
Publicat: American Medical Association 2019
Matèries:
Original Investigation
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6512255/
https://ncbi.nlm.nih.gov/pubmed/30789656
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamaophthalmol.2018.7051
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