e.g. mhealth
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Skip search results from other journals and go to results- 6 Journal of Medical Internet Research
- 1 JMIR AI
- 1 JMIR Formative Research
- 1 JMIR Mental Health
- 1 JMIR Rehabilitation and Assistive Technologies
- 1 JMIR Research Protocols
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Human Factors
- 0 JMIR Medical Informatics
- 0 JMIR Public Health and Surveillance
- 0 JMIR mHealth and uHealth
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- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
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Machine learning prognostic profiles have demonstrated potential in enhancing clinician assessments for IMPT and identifying individual patient objectives.
JMIR Rehabil Assist Technol 2025;12:e65890
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A clinical prediction model is a model that estimates an individual’s probability of a current health condition (diagnostic) or one that may occur in the future (prognostic). These models are usually estimating a probability, or risk, for the given patient and health outcome.
J Med Internet Res 2024;26:e59634
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The analysis identified commonly ubiquitous clinical terms like “in,” “to,” and “with,” which were segregated due to their limited potential in distinguishing prognostic variations. Among the top 20 clinically meaningful indicators vital for mortality prediction, intriguing insights emerged upon clinical interpretation. For instance, “Failure” and “Pain,” the leading predictors, denote prevalent symptoms within ICU care and can mirror disease severity and disability.
J Med Internet Res 2024;26:e54363
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Functional impairment is one of the most decisive prognostic factors in patients with complex chronic diseases. A more significant functional impairment indicates that the disease is progressing, which requires implementing diagnostic and therapeutic actions that stop the exacerbation of the disease.
JMIR Form Res 2024;8:e52344
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The TNMB stage at diagnosis remains the most important prognostic factor [9,10]. Many patients with early stages of MF have an indolent disease with a 5-year disease-specific survival of 89% to 98% [8,11]. However, approximately 25% of patients with early stages of disease will later progress to advanced stages [4]. Patients with advanced stages of MF have a 5-year disease-specific survival of 18% to 56% associated with treatment failure [8,10]. The 5-year disease-specific survival of SS is 36% [3,8,10].
JMIR Res Protoc 2024;13:e55723
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Nevertheless, inherent values and presuppositions inevitably shape prognostic assessments [14,15]. The etiology and treatability of psychiatric disorders are framed by 2 opposing philosophical paradigms. Deterministic models, which view mental disorders as fixed biological anomalies, often adopt a pessimistic perspective on full recovery. In contrast, the recovery model approach is rooted in the belief that complete recovery is achievable.
JMIR Ment Health 2024;11:e53043
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Many prognostic models for patients with COVID-19 severity and mortality have been proposed, yet most were reported unsuitable for clinical application by several systematic review studies [9-11]. Most models were either at a high or unclear risk of bias (Wynants et al [10]: 305 out of 310 studies, 98.4%; Buttia et al [11]: 312 out of 314 studies, 99.4%) such that their reported discriminative performances were deemed neither reliable nor generalizable [10,11].
J Med Internet Res 2024;26:e52134
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Early screening for effective interventions can help reduce and delay the occurrence of adverse prognostic events related to NAFLD.
NAFLD has no specific hepatic biochemical abnormalities or clinical symptoms in its early stages, and it is often detected by imaging during health checks or follow-ups of other diseases [9]. Although liver biopsy remains the gold standard for diagnosing NAFLD as an invasive technique, large-scale clinical application is unlikely [11].
J Med Internet Res 2023;25:e46891
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Six prognostic or diagnostic ML studies that were published in JMIR AI were identified, and the resulting items were used to assess whether the authors reported the specific details. The perspective of this assessment was as a reviewer and was not intended to score the papers on adherence to our reporting items. This was performed by one of the authors (KEE).
J Med Internet Res 2023;25:e48763
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