Search Results (1 to 10 of 19 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 10 Journal of Medical Internet Research
- 2 JMIR Diabetes
- 2 JMIR Formative Research
- 2 JMIR Medical Informatics
- 2 JMIR mHealth and uHealth
- 1 JMIR Human Factors
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Research Protocols
- 0 JMIR Public Health and Surveillance
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
For both prototypes A and B, participants’ level of privacy concern (prototype A: r=–0.61; P=.01 and prototype B: r=–0.59; P=.02) and perceived privacy risk (prototype A: r=–0.61; P=.01 and prototype B: r=–0.52; P=.04) were shown to have a good negative correlation with the behavioral intention to use the app.
JMIR Mhealth Uhealth 2025;13:e65747
Download Citation: END BibTex RIS
Reference 16: MICE: multivariate imputation by chained equations in R
J Med Internet Res 2025;27:e64635
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Email-Based Recruitment Into the Health eHeart Study: Cohort Analysis of Invited Eligible Patients
J Med Internet Res 2023;25:e51238
Download Citation: END BibTex RIS
Patient Explore R is a user-friendly R Shiny application that enables rule-based mining of structured, clinical, patient-level interactive dynamic reports using Boolean operators and provides auto-generated visualization of clinical data. Patient Explore R’s data pipeline comes from the De-ID CDW, and exploration of the EHR data requires no advanced programming skills, as Patient Explore R data can be queried and extracted in a web-based format.
JMIR Med Inform 2023;11:e46159
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section