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Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change

Lana Hebden, Amelia Cook, Hidde P. van der Ploeg, Margaret Allman-Farinelli

JMIR Res Protoc 2012;1(2):e9

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Privacy-Preserving Deep Learning for the Detection of Protected Health Information in Real-World Data: Comparative Evaluation

to keep local training data secret and just share the NN that is trained by applying a round robin algorithm (Figure 3).

Sven Festag, Cord Spreckelsen

JMIR Form Res 2020;4(5):e14064

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Mental and Emotional Self-Help Technology Apps: Cross-Sectional Study of Theory, Technology, and Mental Health Behaviors

The behavior item response distribution is depicted in Table 3.Table 1Summary of participant demographics.DemographicsFrequency (N=150)n (%)Age, years18-2513 (8.7)26-3474 (49.3)35-5455 (36.7)55-648 (5.3)65 or over0 (0.0)Race or ethnicityAsian11 (7.3)Black/African

Benjamin T Crookston, Joshua H West, P Cougar Hall, Kaitana Martinez Dahle, Thomas L Heaton, Robin N Beck, Chandni Muralidharan

JMIR Ment Health 2017;4(4):e45

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The Era of Smartphones: Back to Our Biological Makeup?

Alejandro Santos-Lozano, Nuria Garatachea, Helios Pareja-Galeano, Carmen Fiuza-Luces, Fabian Sanchis-Gomar, Alejandro Lucia

JMIR Mhealth Uhealth 2016;4(3):e63

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Correction: A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model

Xiaopeng Yao, Xinqiao Huang, Chunmei Yang, Anbin Hu, Guangjin Zhou, Mei Ju, Jianbo Lei, Jian Shu

JMIR Med Inform 2021;9(1):e25337

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The Systematic Removal of Participants Post-Randomization Can Lead to Alternate Explanations of the Results

The recently published study by Rooke et al [1] removed participants from the analysis who reported other treatment use during the study (n=5).

John A Cunningham

J Med Internet Res 2013;15(6):e128

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Smartphone Apps to Support Coordinated Specialty Care for Prodromal and Early Course Schizophrenia Disorders: Systematic Review

final set as well as the original 32 articles, 21 articles met the full inclusion criteria and are reviewed here (Figure 1).Figure 1Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram.ResultsClinical High RiskProtocolThe Robin

Erica Camacho, Leonard Levin, John Torous

J Med Internet Res 2019;21(11):e16393

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Allegiance Bias and Treatment Quality as Moderators of the Effectiveness of Humanistic Psychotherapy: Protocol for a Systematic Review and Meta-Analysis

If studies report more than 1 symptom-specific metric outcome, outcomes on self-rating scales (eg, Beck Depression Inventory) will be given priority over observer-rated scales (eg, Hamilton Depression Rating Scale).

Olivia Schünemann, Alessa Jansen, Ulrike Willutzki, Nina Heinrichs

JMIR Res Protoc 2019;8(11):e15140

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Learning to Read by Learning to Write: Evaluation of a Serious Game to Foster Business Process Model Comprehension

The participants were divided into two groups (ie, control group and game group) using the round-robin approach (ie, alternating assignment into one of the two groups).

Michael Winter, Rüdiger Pryss, Thomas Probst, Manfred Reichert

JMIR Serious Games 2020;8(1):e15374

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Addendum to: Can Internet-Based Sexual Health Services Increase Diagnoses of Sexually Transmitted Infections (STI)? Protocol for a Randomized Evaluation of an Internet-Based STI Testing and Results Service

Emma Wilson, Caroline Free, Tim P Morris, Jonathan Syred, Paula Baraitser

JMIR Res Protoc 2016;5(3):e141

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