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

Decision Support for Health Professionals (1186) Clinical Informatics (1022) Clinical Information and Decision Making (1407) Electronic Health Records (1053)

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 Alhassan1, 2 Author Orcid Image ;   David Budgen1 Author Orcid Image ;   Riyad Alshammari3, 4 Author Orcid Image ;   Noura Al Moubayed1 Author Orcid Image
Article Authors Cited by (2) 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, United Kingdom

2 Computer Science Department, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia

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

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

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