Automated Diabetes Case Identification Using Electronic Health Record Data at a Tertiary Care Facility

OBJECTIVE: To develop and validate a phenotyping algorithm for the identification of patients with type 1 and type 2 diabetes mellitus (DM) preoperatively using routinely available clinical data from electronic health records. PATIENTS AND METHODS: We used first-order logic rules (if-then-else rules...

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Detalles Bibliográficos
Autores principales: Upadhyaya, Sudhi G., Murphree, Dennis H., Ngufor, Che G., Knight, Alison M., Cronk, Daniel J., Cima, Robert R., Curry, Timothy B., Pathak, Jyotishman, Carter, Rickey E., Kor, Daryl J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6135013/
https://www.ncbi.nlm.nih.gov/pubmed/30225406
http://dx.doi.org/10.1016/j.mayocpiqo.2017.04.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6135013/
https://www.ncbi.nlm.nih.gov/pubmed/30225406
http://dx.doi.org/10.1016/j.mayocpiqo.2017.04.005

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