Search Results (1 to 10 of 2112 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 653 Journal of Medical Internet Research
- 304 JMIR Research Protocols
- 215 JMIR Formative Research
- 179 JMIR mHealth and uHealth
- 173 JMIR Public Health and Surveillance
- 112 JMIR Medical Informatics
- 74 Online Journal of Public Health Informatics
- 61 JMIR Mental Health
- 47 JMIR Human Factors
- 46 JMIR Serious Games
- 31 JMIR Cancer
- 29 JMIR Aging
- 27 JMIR Medical Education
- 24 Interactive Journal of Medical Research
- 18 JMIR Diabetes
- 18 JMIR Pediatrics and Parenting
- 16 JMIR Dermatology
- 15 Iproceedings
- 15 JMIR Cardio
- 12 JMIR AI
- 6 JMIR Biomedical Engineering
- 6 JMIR Infodemiology
- 6 JMIR Rehabilitation and Assistive Technologies
- 5 JMIR Nursing
- 5 JMIR Perioperative Medicine
- 3 JMIR XR and Spatial Computing (JMXR)
- 3 JMIRx Med
- 3 Journal of Participatory Medicine
- 2 Asian/Pacific Island Nursing Journal
- 2 JMIR Bioinformatics and Biotechnology
- 1 JMIR Data
- 1 JMIR Neurotechnology
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
Go back to the top of the page Skip and go to footer section

We analyzed categorical data using a chi-square test or Fisher exact test, as appropriate, and continuous data using a Student t test. We also used a multivariable logistic regression model, adjusting for age, sex, diabetes mellitus, and chronic kidney disease, to evaluate the association between our CDS intervention and inappropriate urine culture orders and unnecessary antibiotic use. All analyses were conducted in STATA/BE (version 18; Stata Corp).
JMIR Med Inform 2025;13:e68044
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section

Audience Responses to Online Public Shaming in Online Environments: Mixed Methods Study
J Med Internet Res 2025;27:e67923
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

This method uses the cross-entropy function to optimize probabilities around the label y, concentrating the network distribution near the label values. The final overall loss is derived by combining these 2 components with appropriate weighting.
We implement a method for calculating the skew IOU, incorporating triangulation. Figure 2 illustrates the geometric principles. Our objective is to calculate the IOU for each pair of skew rectangles.
J Med Internet Res 2025;27:e74402
Download Citation: END BibTex RIS

Periodic waves corresponding to the top five power values were identified, with their summed ranks on the y-axis used to indicate intensity (see Figure 3 D). Lower ranks reflected stronger intensity, highlighting shared periodic waves (x-axis) among participants.
The period indicates the reciprocal of the frequency. The ranking score indicates the power spectrum in descending order from the maximum value.
Figure 4 shows differences in periodic waves between groups for LV and entropy.
J Med Internet Res 2025;27:e71658
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section