Search Results (1 to 10 of 47 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 15 Journal of Medical Internet Research
- 8 JMIR Research Protocols
- 5 JMIR Medical Informatics
- 3 JMIR Formative Research
- 2 Iproceedings
- 2 JMIR Medical Education
- 2 JMIR Mental Health
- 2 JMIR Public Health and Surveillance
- 2 JMIR Serious Games
- 1 Interactive Journal of Medical Research
- 1 JMIR Aging
- 1 JMIR Diabetes
- 1 JMIR Human Factors
- 1 JMIR Perioperative Medicine
- 1 JMIR mHealth and uHealth
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 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 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)
What can be concluded is that GLP outcomes on certain Met S parameters can be enhanced when delivered in a hybrid care model, as demonstrated in previous studies, thereby leading to better outcomes, an important factor considering the cost of GLP treatments.
Interact J Med Res 2025;14:e63079
Download Citation: END BibTex RIS
Although AI-based chatbots better mimic natural conversations, can apply therapeutic techniques dynamically, and learn over time, they are a new technology, and possible risks and challenges with large language models are currently unclear [9]. Rule-based chatbots operate with predefined scripts and pathways and are therefore predictable and allow for standardization of interventions.
JMIR Ment Health 2025;12:e63515
Download Citation: END BibTex RIS
This operation can be modeled by:
where N is scaling noise sampled from a specific distribution. In this work, we chose Laplace and Gaussian mechanisms [25] that use L1 and L2 norm sensitivity, respectively. The sensitivity function can be expressed as:
Scaling noise can be computed as:
Output perturbation satisfies (ϵ,δ)-DP when we properly select the value scaling noise.
JMIR Ment Health 2024;11:e60003
Download Citation: END BibTex RIS
LVD is often recurrent, and in the later stage, it can lead to vaginal stenosis, causing dyspareunia and even carrying the risk of carcinoma, which severely impacts the physical and psychological well-being of the patients [4-6]. It is evident that Chinese women are often reluctant to seek medical care from formal health care facilities due to economic, cultural and traditional concept, and other factors.
J Med Internet Res 2024;26:e55734
Download Citation: END BibTex RIS
Preliminary studies exploring the effectiveness of chatbots on mental health outcomes are promising [32,33] and suggest they may be a practical way of providing mental health care as they can (1) use existing and widely available software infrastructures, and (2) may increase engagement due to the conversational nature of delivery.
JMIR Res Protoc 2024;13:e54585
Download Citation: END BibTex RIS
In that context, a CDSS can bring much-needed information to decision makers [25] in locations where expert pharmacologists are not readily available.
JMIR Res Protoc 2024;13:e58720
Download Citation: END BibTex RIS
Efficient Use of Biological Data in the Web 3.0 Era by Applying Nonfungible Token Technology
It can hold many files that include transaction IDs and detailed history. Therefore, we can store a large number of biomedical and sample data through an NFT [19]. As envisaged by Skalidis et al [20], tagging and converting patient data (medical information, health status, examination results, and consent forms) into an NFT can enhance privacy and ensure data integrity and confidentiality in clinical practice and research.
J Med Internet Res 2024;26:e46160
Download Citation: END BibTex RIS
An explicit explanation of how each covariate was defined can be found in Multimedia Appendix 1. Participants with missing data were excluded to enable a complete-case analysis.
Participant characteristics were reported using the means and SDs for numeric variables and counts and percentages for categorical variables. We first examined the relationship between mean and day-to-day sleep efficiency variability using the Pearson r correlation coefficient and a scatterplot.
JMIR Aging 2024;7:e54353
Download Citation: END BibTex RIS
These factors can result in vaccine hesitancy, a state of decisional ambivalence that manifests as a “delay in acceptance or refusal of vaccination despite availability of vaccination services” [2]. Vaccine hesitancy is blamed for backslides in vaccination coverage in high-income countries (eg, in Europe and the Americas), where issues with vaccine availability are less of a factor in suboptimal vaccine uptake [3].
JMIR Res Protoc 2024;13:e51137
Download Citation: END BibTex RIS
Digital Phenotyping for Monitoring Mental Disorders: Systematic Review
All this information can then be analyzed using big data processing methods, such as deep learning and machine learning algorithms, aimed at classifying mental health status or predicting symptomatic worsening [3] (Figure 1).
J Med Internet Res 2023;25:e46778
Download Citation: END BibTex RIS