Search Results (1 to 10 of 2390 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 657 Journal of Medical Internet Research
- 463 JMIR Research Protocols
- 270 JMIR Formative Research
- 183 JMIR mHealth and uHealth
- 101 JMIR Public Health and Surveillance
- 96 JMIR Mental Health
- 96 Online Journal of Public Health Informatics
- 77 JMIR Medical Informatics
- 66 JMIR Human Factors
- 52 JMIR Cancer
- 36 JMIR Pediatrics and Parenting
- 35 JMIR Aging
- 32 JMIR Dermatology
- 30 JMIR Serious Games
- 29 JMIR Medical Education
- 26 JMIR Cardio
- 25 JMIR Diabetes
- 22 Iproceedings
- 15 Interactive Journal of Medical Research
- 15 JMIR Infodemiology
- 15 JMIR Rehabilitation and Assistive Technologies
- 10 JMIR AI
- 10 JMIR Perioperative Medicine
- 9 Journal of Participatory Medicine
- 7 JMIRx Med
- 4 JMIR Nursing
- 3 JMIR Biomedical Engineering
- 3 JMIR XR and Spatial Computing (JMXR)
- 1 JMIR Bioinformatics and Biotechnology
- 1 JMIR Neurotechnology
- 1 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 JMIR Data
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 Asian/Pacific Island Nursing Journal
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
(C) and (D) Performance of training on BIDMC data and testing on MGH data. AUPRC: area under the precision-recall curve; AUROC: area under the receiver operating characteristic curve; BIDMC: Beth Israel Deaconess Medical Center; MGH: Mass General Hospital; PR: precision-recall; ROC: receiver operating characteristic.
Logistic regression coefficients from using the model trained with notes, ICDa codes, and medications. Unexpected results are discussed in the Error Analysis section.
JMIR Med Inform 2025;13:e64113
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
Choosing the Best Digital Health Literacy Measure for Research: Mixed Methods Study
The “adequacy” of an individual’s (d)HL is context specific and depends on the demands and complexities of health care systems and health information sources [8]. For instance, if a digital information source or service is accessible and uses clear language, even lower levels of d HL may be sufficient. Additionally, the measurement of HL and d HL varies depending on the definition, methodology, time frame of studies, country, and target population.
J Med Internet Res 2025;27:e59807
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