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Interrater Reliability of mHealth App Rating Measures: Analysis of Top Depression and Smoking Cessation Apps

Interrater Reliability of mHealth App Rating Measures: Analysis of Top Depression and Smoking Cessation Apps

yes; 0=noExplicit privacy policyPowell et al (2014)0-11=yes; 0=noEffectiveness tested (claimed by app)Powell et al (2014)0-11=yes; 0=noDeveloper contactableLewis0-11=yes; 0=noAdvertising policy statedLewis0-11=yes; 0=noErrors and performance issuesMartinez-Perez

Adam C Powell, John Torous, Steven Chan, Geoffrey Stephen Raynor, Erik Shwarts, Meghan Shanahan, Adam B Landman

JMIR Mhealth Uhealth 2016;4(1):e15

Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace

Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace

Similar to a recent study by Martinez-Perez et al [24], this study found that depression app seekers need to filter through 400+ apps in either the Google Play or iTunes marketplace.

Nelson Shen, Michael-Jane Levitan, Andrew Johnson, Jacqueline Lorene Bender, Michelle Hamilton-Page, Alejandro (Alex) R Jadad, David Wiljer

JMIR Mhealth Uhealth 2015;3(1):e16

eHealth Literacy Among College Students: A Systematic Review With Implications for eHealth Education

eHealth Literacy Among College Students: A Systematic Review With Implications for eHealth Education

For example, Nsuangani and Perez [21] asked specific questions about Internet use tendencies to find health information, while the RRSA, administered in 3 studies [19,25,26], sought to evaluate all dimensions of eHealth literacy.The studies included in this

Michael Stellefson, Bruce Hanik, Beth Chaney, Don Chaney, Bethany Tennant, Enmanuel Antonio Chavarria

J Med Internet Res 2011;13(4):e102

Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study

Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study

encounter any delays to evaluate even the most recent studies.Table 2Average recall and precision of different search strategies.ApproachPubMed Clinical Queries (broad)Machine learningDeep learningReferenceAverage recall98.491.496.9Reported in the study by Perez-Rey

Muhammad Afzal, Maqbool Hussain, Khalid Mahmood Malik, Sungyoung Lee

JMIR Med Inform 2019;7(4):e13430