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Exoskeletons With Virtual Reality, Augmented Reality, and Gamification for Stroke Patients’ Rehabilitation: Systematic Review

Exoskeletons With Virtual Reality, Augmented Reality, and Gamification for Stroke Patients’ Rehabilitation: Systematic Review

Both Colombo et al and Alankus et al [12,13] concluded and showed the positive effect of exoskeleton robots and games in poststroke rehabilitation.

Omar Mubin, Fady Alnajjar, Nalini Jishtu, Belal Alsinglawi, Abdullah Al Mahmud

JMIR Rehabil Assist Technol 2019;6(2):e12010

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

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

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

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

For example, Glowacki et al [3] analyzed tweets about electronic cigarettes posted by physicians from two countries, the United Kingdom and the United States; they found that physicians discussed important topics such as the likelihood of electronic cigarette

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

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

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

Developing mHealth Messages to Promote Postmenstrual Regulation Contraceptive Use in Bangladesh: Participatory Interview Study

Developing mHealth Messages to Promote Postmenstrual Regulation Contraceptive Use in Bangladesh: Participatory Interview Study

Some women don’t have side effects.Message 5: Pill use (Story)I called my sister Sumi and she told me she used oral contraceptive pills (daily pills) for 2 years after she married Mahmud. She stopped to start a family.

Elisabeth Eckersberger, Erin Pearson, Kathryn Andersen, Altaf Hossain, Katharine Footman, Kamal Kanti Biswas, Sadid Nuremowla, Kate Reiss

JMIR Mhealth Uhealth 2017;5(12):e174

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