e.g. mhealth
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Skip search results from other journals and go to results- 6 Journal of Medical Internet Research
- 3 JMIR Formative Research
- 2 JMIR Medical Informatics
- 2 JMIR Research Protocols
- 1 Iproceedings
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- 0 JMIR Public Health and Surveillance
- 0 JMIR mHealth and uHealth
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Therefore, this study seeks to address this gap in the literature by investigating the prevalence and predictors of anxiety and depression within these 3 provinces.
JMIR Form Res 2024;8:e60760
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A recently published study from the Netherlands [18] investigated the predictors of HF-specific readmission using ML on SHI data. However, most readmissions in patients with HF are for noncardiovascular reasons, such as renal failure or pneumonia [19]. To the best of our knowledge, to date, no study exists that applied ML to only outpatient SHI data to predict all-cause readmission in HF.
JMIR Cardio 2024;8:e54994
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Defining Activity Thresholds Triggering a “Stand Hour” for Apple Watch Users: Cross-Sectional Study
Furthermore, this study plans to estimate the value of any significant SH predictors that deem that an individual has stood, that is, the threshold at which the metric turns from 0 to 1.
Ethical approval to undertake this project was given by the University of Dundee School of Medicine Research Ethics Committee (20/55) prior to participant recruitment and data collection.
Convenience sampling occurred via social media, word of mouth, and email dispersal to recruit individuals throughout the United Kingdom.
JMIR Form Res 2024;8:e53806
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Given a binary outcome, a population-level prevalence of 0.20, a conservatively estimated Cox-Snell R2 of 0.09, and 24 predictors in the largest risk factor group, the sample size required for this study was determined to be 1065 with 213 events to minimize the risk of overfitting, reduce the chance of overly optimistic performance metrics, and ensure that the models have sufficient data to estimate the overall risk of cognitive impairment in our sample.
JMIR Aging 2024;7:e53240
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This study aims to identify real-time predictors and explain an individual’s dynamic course of NSSI.
This study aims to use cutting-edge digital phenotyping techniques to identify young individuals at risk of NSSI and develop targeted interventions.
This study will use a hybrid approach, combining elements of prospective observational research with non–face-to-face study methods.
JMIR Res Protoc 2024;13:e53597
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For example, using univariable and multivariable regression models, Gerber et al [10] analyzed the use of My Chart (a personal health record portal for electronic medical record systems) among patients attending a National Cancer Institute–designated cancer center and predictors of My Chart use.
JMIR Med Inform 2023;11:e41576
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In addition to studying the long-term effectiveness of i CBT, it is essential to study possible predictors because a given treatment is not likely to work in the same way for everyone. Research on predictors of change can help to make recommendations about which treatments are more appropriate for certain individuals and which ones are less likely to be beneficial for them.
JMIR Ment Health 2022;9(10):e40268
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We use as perceived usefulness predictors the perceptions of the variables proposed in the TAM2 model: subjective norm, image, job relevance, output quality, and results demonstrability.
J Med Internet Res 2022;24(8):e34858
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