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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

We employ comparative statistical models similar to the models used by Wells et al [2] and apply them to a larger electronic health record (EHR) dataset collected from King Abdullah International Medical Research Center (KAIMRC) [20,21] in Saudi Arabia.The

Zakhriya Alhassan, David Budgen, Riyad Alshammari, Noura Al Moubayed

JMIR Med Inform 2020;8(7):e18963


MERS-CoV Outbreak at Domat Al-Jandal Hospital

MERS-CoV Outbreak at Domat Al-Jandal Hospital

IPROCiprocIproceedings2369-6893JMIR PublicationsToronto, Canadav4i1e1060310.2196/10603AbstractAbstractMERS-CoV Outbreak at Domat Al-Jandal HospitalKhaderYousefAl-GuaimyAbdullahKamelSCorresponding Author: Abdullah Al-Guaimy doctorabduallah@gmail.comJan-Dec20182903201841e1060329320182932018

Abdullah Al-Guaimy, S Kamel

iproc 2018;4(1):e10603


Group-Personalized Regression Models for Predicting Mental Health Scores From Objective Mobile Phone Data Streams: Observational Study

Group-Personalized Regression Models for Predicting Mental Health Scores From Objective Mobile Phone Data Streams: Observational Study

For example, Lane et al [15] developed, and Abdullah et al [16] extended, an approach for finding groups of individuals based on the similarity of their demographics, lifestyle, and sensor data.

Niclas Palmius, Kate E A Saunders, Oliver Carr, John R Geddes, Guy M Goodwin, Maarten De Vos

J Med Internet Res 2018;20(10):e10194


Smartphones as Sleep Duration Sensors: Validation of the iSenseSleep Algorithm

Smartphones as Sleep Duration Sensors: Validation of the iSenseSleep Algorithm

In the related work section, we indicate the other smartphone or HCI-analysis methods with an error of 42 min (Chen et al [25]) or 45 min (Abdullah et al [26]) for sleep duration; these methods leveraged microphone and luminosity sensors besides, for example

Matteo Ciman, Katarzyna Wac

JMIR Mhealth Uhealth 2019;7(5):e11930


Barriers to Implementation of Perinatal Death Audit in Maternity and Pediatric Hospitals in Jordan: Cross-Sectional Study

Barriers to Implementation of Perinatal Death Audit in Maternity and Pediatric Hospitals in Jordan: Cross-Sectional Study

differ according to gender, profession, and years of experience.MethodsStudy DesignA cross-sectional study was conducted in 3 public hospitals and 1 teaching hospital, 3 hospitals from the north (Al-Mafraq Pediatrics Hospital, Princess Rahma Hospital, and King Abdullah

Yousef Khader, Mohammad Alyahya, Anwar Batieha

JMIR Public Health Surveill 2019;5(1):e11653