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Applying eHealth for Pandemic Management in Saudi Arabia in the Context of COVID-19: Survey Study and Framework Proposal

Abdullah Alsharif

JMIR Med Inform 2020;8(11):e19524

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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

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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

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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

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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

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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

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Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study

Rana Abdullah, Bahjat Fakieh

J Med Internet Res 2020;22(5):e17620

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Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review

Abdullah et al [45] pointed out that nonsedentary duration was weakly correlated with mood pattern.

Ezgi Dogan, Christian Sander, Xenija Wagner, Ulrich Hegerl, Elisabeth Kohls

J Med Internet Res 2017;19(7):e262

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Educational Module Intervention for Radiographers to Reduce Repetition Rate of Routine Digital Chest Radiography in Makkah Region of Saudi Arabia Tertiary Hospitals: Protocol of a Quasi-Experimental Study

A study conducted in Saudi Arabia by Alsharif et al [16] showed that there is poor knowledge among radiographers in identifying image error.

Abdullah A. Almalki, Rosliza Abdul Manaf, Muhamad Hanafiah Juni, Hayati Kadir Shahar, Noramaliza Mohd Noor, Abdelsafi Gabbad

JMIR Res Protoc 2017;6(9):e185

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Mining Physicians’ Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis

Abdullah Wahbeh, Tareq Nasralah, Mohammad Al-Ramahi, Omar El-Gayar

JMIR Public Health Surveill 2020;6(2):e19276

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