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Conditional inference trees model the nonlinear relationships between a wide range of predictors and an outcome. As a data mining approach, the conditional inference tree is a data-driven analytic strategy that identifies interacting social determinants from many candidate predictors to determine which predictors are most relevant to specific outcomes.
J Med Internet Res 2025;27:e65452
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For example, medical students completing an online module on a basic science topic may be confident in their ability to learn but struggle to see the value in the material beyond their next examination. Conversely, students completing a virtual examination with a standardized patient may see the value in what they are learning but not feel confident in their ability to succeed.
JMIR Med Educ 2025;11:e64179
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Participants (N=11; mean age 43.6, SD 17.8; range 19‐76 years) were female (55%, n=6), White (91%, n=10), Hispanic (73%, n=8), with a history of acute myeloid leukemia (100%, n=11), and a mean time of 1.64 (SD 0.81) years post-SCT at the time of the focus groups.
JMIR Form Res 2025;9:e65188
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The aim of this study is to develop risk calculators that best predict (1) a mother’s risk of having a neonate with abnormal fetal growth (large for gestational age [LGA] or small for gestational age [SGA]); (2) a mother’s risk of having a serious adverse neonatal outcome; and (3) a mother’s risk of developing new metabolic disease after pregnancy (Figure 1).
JMIR Res Protoc 2025;14:e72542
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Our team conducted a formative study to gain a detailed understanding of US students’ preferences for interventions and their patterns of smartphone use [28]. Based on our findings and through conducting iterative user-centered design testing, our team developed bhoos (see below for a detailed description of the app and its functions). Similar to other app interventions, bhoos provides on-demand psychoeducational content about safer alcohol use.
JMIR Hum Factors 2025;12:e69873
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Risk communication is a fundamental component of risk analysis that involves the exchange of information about risk and risk-related factors using a range of appropriate tools and strategies [1]. Effective risk communication is instrumental in promoting awareness [2], increasing behavior uptake [3], and mitigating adverse health events [4,5]. Food safety risk communication has 2 aims depending on the audience.
JMIR Public Health Surveill 2025;11:e68724
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Furthermore, this simplifies the prediction task to a single time point, making it more feasible to compare multiple models and augmentation strategies. Patients with a chest radiograph within 48 hours before the first elevated e CART score were included in the study. Available anterior-posterior or posterior-anterior views were included in the study cohort.
JMIR AI 2025;4:e67144
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The inclusion criteria were pregnant military-affiliated individuals with a singleton gestation; age 18-45 years; ability to communicate in English during the screening process; access to a computer, smartphone, or tablet with internet service; willing to use the bassinet they are randomized to; and willing to travel to a local Quest Diagnostics (an insert description) for blood draw.
JMIR Res Protoc 2025;14:e66439
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Transcripts were coded by the first author following a template analysis approach [18] with NVivo software (version 14; Lumivero), using a prespecified codebook. The codebook was created according to a hybrid approach, using a deductive approach to generate high-level codes based on the CFIR Codebook Template [15], and an inductive approach to incorporate themes that arose from the data [19].
JMIR Form Res 2025;9:e67624
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80 years; (5) prevention of stroke and systemic embolism in a patient aged 82 years with atrial fibrillation and renal insufficiency; and (6) antithrombotic treatment of myocardial infarction in a patient aged 54 years.
JMIR Med Educ 2025;11:e67419
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