Search Results (1 to 10 of 5495 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 1611 Journal of Medical Internet Research
- 938 JMIR Research Protocols
- 652 JMIR Formative Research
- 457 JMIR mHealth and uHealth
- 236 JMIR Public Health and Surveillance
- 217 JMIR Mental Health
- 180 Online Journal of Public Health Informatics
- 159 JMIR Medical Informatics
- 153 JMIR Human Factors
- 95 JMIR Cancer
- 88 JMIR Pediatrics and Parenting
- 85 JMIR Aging
- 77 JMIR Serious Games
- 68 Iproceedings
- 63 JMIR Medical Education
- 59 Interactive Journal of Medical Research
- 53 JMIR Diabetes
- 50 JMIR Dermatology
- 44 JMIR Cardio
- 36 JMIR Rehabilitation and Assistive Technologies
- 30 JMIR Perioperative Medicine
- 28 JMIR Infodemiology
- 28 JMIRx Med
- 22 Journal of Participatory Medicine
- 21 JMIR Nursing
- 19 JMIR AI
- 7 JMIR Bioinformatics and Biotechnology
- 7 JMIR Biomedical Engineering
- 7 JMIR Neurotechnology
- 2 JMIR XR and Spatial Computing (JMXR)
- 2 Medicine 2.0
- 1 Asian/Pacific Island Nursing Journal
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 JMIR Data
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
Interview transcripts were reviewed by 2 coders (BA and M Browne) who reflected on their positionality, assumptions, and social locations in reference to the data. The coders then engaged in line-by-line coding inductively, designating codes to portions of interview text to categorize shared ideas [23,24]. They met consistently during the coding process to consider their perceptions of the data, important codes, and emerging patterns and to begin collectively making sense of the data [23].
JMIR Pediatr Parent 2025;8:e64618
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
Binary raw activity data (Hz-level accelerometry data) were read by read.gt3x package into an R data frame (R Foundation for Statistical Computing) and transformed into 60-second epochs activity count data in 1440 minutes per day (12 AM to 11:59 PM) analytic format. The activity counts are vector magnitude-based activity counts.
JMIR Mhealth Uhealth 2025;13:e57599
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
For a count-based encoded representation of m ICD-9 codes across our cohort, P ∈ R3454×m, and an embedding matrix, E∈Rm×300, our design matrix for clustering, X ∈ R3454×300, is given by the following matrix multiplication: X = P · E.
This matrix multiplication sums the non-ADRD ICD embeddings across a patient record, and the resultant embedding is directly affected by the number of times each code appears in a patient’s history.
JMIR Aging 2025;8:e65178
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