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Mobile Game–Based Digital Vaccine for Reducing Risk of Lifestyle Diseases

Mobile Game–Based Digital Vaccine for Reducing Risk of Lifestyle Diseases

Hopkins UniversityBaltimore, MDUnited States5The Mithra TrustChennaiIndia6Mind in MotionChennaiIndiaCorresponding Author: Yi-Chin Kato-Lin YiChin.Lin@hofstra.eduJul-Dec20181709201842e117902820182982018©Rema Padman, Yi-Chin Kato-Lin, Bhargav SriPrakash, Sross

Rema Padman, Yi-Chin Kato-Lin, Bhargav SriPrakash, Sross Gupta, Palak Narang, Preethika Karthikeyan, Uttara Bharath-Kumar, Pradeep Krishnatray, Sanjeeta Agnihotri, Bhairavi Prakash, Vasini Varadan

iproc 2018;4(2):e11790

WikiBuild: A New Application to Support Patient and Health Care Professional Involvement in the Development of Patient Support Tools

WikiBuild: A New Application to Support Patient and Health Care Professional Involvement in the Development of Patient Support Tools

wikis and collaborative writing applications in health care will better identify the areas where further knowledge synthesis is needed and the areas where more primary research remains to be done [12].In this issue of the Journal of Medical Internet Research, Gupta

Patrick Michel Archambault

J Med Internet Res 2011;13(4):e114

Using Qualitative Analysis to Assess a Model of Support for Online Health Communities for People Living with Chronic Health Conditions

Using Qualitative Analysis to Assess a Model of Support for Online Health Communities for People Living with Chronic Health Conditions

Green brian.m.green@health-union.comJul-Dec20181709201842e117741820182982018©Brian M Green, Kaitlyn Van Horn, Ketki Gupta, Amrita Bhowmick, Michael Booth.

Brian M. Green, Kaitlyn Van Horn, Ketki Gupta, Amrita Bhowmick, Michael Booth

iproc 2018;4(2):e11774

Tracking Knowledge Evolution in Cloud Health Care Research: Knowledge Map and Common Word Analysis

Tracking Knowledge Evolution in Cloud Health Care Research: Knowledge Map and Common Word Analysis

Gupta et al [51] assembled three models of Naive Bayes, AdaBoost, and boosted tree methods to improve the accuracy of heart disease prediction. Gu et al [52] presented a case-based reasoning system for breast cancer–related diagnoses.

Dongxiao Gu, Xuejie Yang, Shuyuan Deng, Changyong Liang, Xiaoyu Wang, Jiao Wu, Jingjing Guo

J Med Internet Res 2020;22(2):e15142

Web-Based Medical Appointment Systems: A Systematic Review

Web-Based Medical Appointment Systems: A Systematic Review

It is not the intention of this work to review the literature regarding fundamental theories of medical scheduling or system design, which have been studied and reviewed by Cayirli et al [15] and Gupta et al [16].

Peng Zhao, Illhoi Yoo, Jaie Lavoie, Beau James Lavoie, Eduardo Simoes

J Med Internet Res 2017;19(4):e134

North American Public Opinion Survey on the Acceptability of Crowdsourcing Basic Life Support for Out-of-Hospital Cardiac Arrest With the PulsePoint Mobile Phone App

North American Public Opinion Survey on the Acceptability of Crowdsourcing Basic Life Support for Out-of-Hospital Cardiac Arrest With the PulsePoint Mobile Phone App

In a review by Gupta et al on the sociopsychological determinants of public acceptance of technologies, perceived risk, perceived benefit, trust and culpability, knowledge, individual differences, and attitude are traditionally the most often reported or cited

Katie N Dainty, Haris Vaid, Steven C Brooks

JMIR Mhealth Uhealth 2017;5(5):e63

What Are Health-Related Users Tweeting? A Qualitative Content Analysis of Health-Related Users and Their Messages on Twitter

What Are Health-Related Users Tweeting? A Qualitative Content Analysis of Health-Related Users and Their Messages on Twitter

Oz, Atul Gawande, Sanjay Gupta). We also did not independently verify user profiles, and users representing themselves as providers were not checked against other databases.

Joy L Lee, Matthew DeCamp, Mark Dredze, Margaret S Chisolm, Zackary D Berger

J Med Internet Res 2014;16(10):e237