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The Effects of Social Presence on Adherence-Focused Guidance in Problematic Cannabis Users: Protocol for the CANreduce 2.0 Randomized Controlled Trial

By introducing a mostly automated e Coach named Deborah, we seek to quite literally give our Web-based tool a face.

Manuel Amann, Severin Haug, Andreas Wenger, Christian Baumgartner, David D Ebert, Thomas Berger, Lars Stark, Marc Walter, Michael P Schaub

JMIR Res Protoc 2018;7(1):e30

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The Role of YouTube and the Entertainment Industry in Saving Lives by Educating and Mobilizing the Public to Adopt Behaviors for Community Mitigation of COVID-19: Successive Sampling Design Study

Charles E Basch, Corey H Basch, Grace C Hillyer, Christie Jaime

JMIR Public Health Surveill 2020;6(2):e19145

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Efficacy of an Online Self-Help Treatment for Comorbid Alcohol Misuse and Emotional Problems in Young Adults: Protocol for a Randomized Controlled Trial

On this page, they will be able to see the latest automated message from the research assistant, Deborah, the date on which they started the study, which assessments have been completed, their module progress, and their weekly mood and drinking diary.

Jona R Frohlich, Karli K Rapinda, Michael P Schaub, Andreas Wenger, Christian Baumgartner, Edward A Johnson, Roisin M O'Connor, Norah Vincent, Matthijs Blankers, David D Ebert, Heather Hadjistavropoulos, Corey S Mackenzie, Matthew T Keough

JMIR Res Protoc 2018;7(11):e11298

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Interaction and Engagement with an Anxiety Management App: Analysis Using Large-Scale Behavioral Data

Paul Matthews, Phil Topham, Praminda Caleb-Solly

JMIR Ment Health 2018;5(4):e58

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A Machine Learning Method for Identifying Lung Cancer Based on Routine Blood Indices: Qualitative Feasibility Study

Five frequently used indicators were adopted here to evaluate the final performance of the routine blood indices model for lung cancer (RBLC) method, including sensitivity (Sens), specificity (Spec), accuracy (ACC), Matthews correlation coefficient (MCC), and

Jiangpeng Wu, Xiangyi Zan, Liping Gao, Jianhong Zhao, Jing Fan, Hengxue Shi, Yixin Wan, E Yu, Shuyan Li, Xiaodong Xie

JMIR Med Inform 2019;7(3):e13476

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Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument

For accelerometer data, the activity intensity classification was based on the Freedson formula [18] in combination with the 100 counts per minute cut-off for sedentary activities as suggested by Matthews et al [19], classifying the intensity of activities

Simone Kohler, Gundula Behrens, Matthias Olden, Sebastian E Baumeister, Alexander Horsch, Beate Fischer, Michael F Leitzmann

J Med Internet Res 2017;19(5):e186

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Cancer Survivorship in the Age of YouTube and Social Media: A Narrative Analysis

Wen-Ying Sylvia Chou, Yvonne Hunt, Anna Folkers, Erik Augustson

J Med Internet Res 2011;13(1):e7

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Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: A Prospective Intervention

David Thompson, Teresa Mackay, Maria Matthews, Judith Edwards, Nicholas Peters, Susan B Connolly

JMIR Mhealth Uhealth 2017;5(6):e76

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Diagnostic Accuracy of Web-Based COVID-19 Symptom Checkers: Comparison Study

Nicolas Munsch, Alistair Martin, Stefanie Gruarin, Jama Nateqi, Isselmou Abdarahmane, Rafael Weingartner-Ortner, Bernhard Knapp

J Med Internet Res 2020;22(10):e21299

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Internet Versus Mailed Questionnaires: A Randomized Comparison

Philip Ritter, Kate Lorig, Diana Laurent, Katy Matthews

J Med Internet Res 2004;6(3):e29

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