This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (701) Clinical Informatics (514) Clinical Information and Decision Making (861) Electronic Health Records (752)

Published on in Vol 8 , No 7 (2020) :July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18963, first published .
Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm

Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm

Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm

Authors of this article:

Zakhriya Alhassan 1, 2 Author Orcid Image ;   David Budgen 1 Author Orcid Image ;   Riyad Alshammari 3, 4 Author Orcid Image ;   Noura Al Moubayed 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (9) Metrics
Zakhriya Alhassan 1, 2 , MSc ;   David Budgen 1 , PhD ;   Riyad Alshammari 3, 4 , PhD ;   Noura Al Moubayed 1 , PhD

1 Department of Computer Science , Durham University , Durham , GB

2 Computer Science Department , College of Computer Science and Engineering , University of Jeddah , Jeddah , SA

3 College of Public Health and Health Informatics , Health Informatics Department , King Saud bin Abdulaziz University for Health Sciences , Riyadh , SA

4 King Abdullah International Medical Research Center , Ministry of the National Guard - Health Affairs , Riyadh , SA

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