Search Results (1 to 10 of 1526 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 519 Journal of Medical Internet Research
- 178 JMIR mHealth and uHealth
- 159 JMIR Research Protocols
- 139 JMIR Formative Research
- 133 JMIR Medical Informatics
- 112 JMIR Public Health and Surveillance
- 43 JMIR Mental Health
- 41 JMIR Serious Games
- 27 Online Journal of Public Health Informatics
- 25 JMIR Aging
- 23 JMIR Human Factors
- 16 JMIR Cancer
- 14 Interactive Journal of Medical Research
- 13 JMIR Dermatology
- 12 JMIR Medical Education
- 11 Iproceedings
- 9 JMIR Cardio
- 9 JMIR Diabetes
- 9 JMIR Pediatrics and Parenting
- 9 JMIR Rehabilitation and Assistive Technologies
- 7 Asian/Pacific Island Nursing Journal
- 4 JMIR AI
- 3 JMIR Biomedical Engineering
- 3 JMIR XR and Spatial Computing (JMXR)
- 2 JMIR Infodemiology
- 2 JMIR Nursing
- 2 JMIRx Med
- 1 JMIR Perioperative Medicine
- 1 Journal of Participatory Medicine
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Challenges
- 0 JMIR Data
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
Individuals with depression, particularly teenagers and young adults, commonly use social media to express their emotions [83]. Research has revealed that in large prediction models, identifying individuals with depression is more challenging when using social media data than when using electronic health records [84]. However, social media post analysis can yield valuable insights into users’ daily events, activities, and interests [85].
J Med Internet Res 2025;27:e59002
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
Reference 29: Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety
JMIR Mhealth Uhealth 2025;13:e53133
Download Citation: END BibTex RIS
Nonbinary data were one-hot encoded, a method for rearranging categorical data into binary variables, and numerical data were normalized using min-max scaling. This would convert all numeric values between or equal to a value of 0 and 1. Min-max scaling is given by:
One-hot encoding, min-max scaling, and dataset splitting were accomplished using the Scikit-Learn library (version 0.24.2) [24]. These steps are required to improve the performance of machine learning models and training stability.
J Med Internet Res 2025;27:e62853
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Reference 53: A mobile phone program to track young people's experiences of mood, stress and coping.
J Med Internet Res 2025;27:e62962
Download Citation: END BibTex RIS
However, working experts in the field of ICBT for children and young people propose that the use of user-centered design methods may help maximize user engagement [14,15]. This methodology emphasizes the importance of (1) understanding adolescents as experts on their own preferences and (2) enabling adolescents to hold central positions as experts in all stages of the design process.
JMIR Form Res 2025;9:e66966
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section