e.g. mhealth
Search Results (1 to 4 of 4 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 2 Journal of Medical Internet Research
- 1 JMIR Aging
- 1 JMIR Formative Research
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Research Protocols
- 0 JMIR Human Factors
- 0 JMIR Medical Informatics
- 0 JMIR Public Health and Surveillance
- 0 JMIR mHealth and uHealth
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 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 Perioperative Medicine
- 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)
Improved uncertainty calibration in LLMs could enhance selective prediction methods, optimizing physician-artificial intelligence (AI) workflows in clinical settings. Future applications of a well-calibrated deprescribing CDS tool could flag cases where critical information is missing (eg, antipsychotics at unchanged doses for more than 3 months without a documented medication review).
JMIR Aging 2025;8:e69504
Download Citation: END BibTex RIS
Model performance evaluation was based on discrimination and calibration. Discrimination was assessed by the pseudo R2, Somers D, and Harrell C [33]. Model calibration was evaluated by plotting a calibration curve and recalibration was carried out by resampling using cross-validation to correct for optimism or overfitting. This was implemented using the “calibrate” function in the rms R package.
J Med Internet Res 2024;26:e56042
Download Citation: END BibTex RIS
All TV values in a task were used to determine calibration factors a and b with least squares linear regression (see equation 1). This resulted in 15×7 sets of calibration factors.
After calibration, an averaging window of 5 TVs was applied to all data to perform further analysis. The seven calibration functions from session 1 were applied to the seven tasks of session 2 to determine accuracy after removal of the Hexoskin.
JMIR Form Res 2021;5(10):e30916
Download Citation: END BibTex RIS
Calibration could also be conducted to verify the reference sound level used during the examination. Therefore, the calibration measurements, which are subject of interest in this paper, were not the outcome of intended actions but resulted from the wish to conduct the hearing test or to verify the test results. All the users who conducted calibration using the bundled headphones were assigned to the uncontrolled group. Detailed instructions on calibration were presented directly before the measurement.
J Med Internet Res 2016;18(5):e130
Download Citation: END BibTex RIS