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Peerj|June 20, 2013
Prediction of morbidity and mortality in patients with type 2 diabetesBrian J Wells, Rachel Roth, Amy S Nowacki, et al.
Applied Clinical Informatics|September 27, 2022
Characteristics of Adult Primary Care Patients Who Use the Patient Portal: A Cross-Sectional AnalysisNicholas J Casacchia, Gary E Rosenthal, Nathaniel S O'Connell, et al.
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|August 21, 2018
Opportunistic Measurement of Skeletal Muscle Size and Muscle Attenuation on Computed Tomography Predicts 1-Year Mortality in Medicare PatientsLeon Lenchik, Kristin M Lenoir, Josh Tan, et al.
JAMIA Open|January 28, 2020
A tale of three subspecialties: Diagnosis recording patterns are internally consistent but Specialty-DependentJose-Franck Diaz-Garelli, Roy Strowd, Tamjeed Ahmed, et al.
JCO Clinical Cancer Informatics|June 17, 2020
Workflow Differences Affect Data Accuracy in Oncologic EHRs: A First Step Toward Detangling the Diagnosis Data BabelFranck Diaz-Garelli, Roy Strowd, Virginia L Lawson, et al.
The Journal of Arthroplasty|September 5, 2009
Predicting patient discharge disposition after total joint arthroplasty in the United StatesWael K Barsoum, Trevor G Murray, Alison K Klika, et al.
JMIR Medical Informatics|October 24, 2018
Predicting Current Glycated Hemoglobin Values in Adults: Development of an Algorithm From the Electronic Health RecordBrian J Wells, Kristin M Lenoir, Jose-Franck Diaz-Garelli, et al.
Clinical Diabetes : a Publication of the American Diabetes Association|November 17, 2022
Impact of the COVID-19 Pandemic on Diabetes Care Among a North Carolina Patient PopulationMichael P Bancks, Meng-Yun Lin, Alain Bertoni, et al.
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