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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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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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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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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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A large language model (LLM) is a deep learning–based artificial intelligence model specifically designed to process and generate natural language. With massive parameters and complex architectures, LLMs are trained on vast amounts of textual data, enabling them to perform a wide range of natural language processing (NLP) tasks [1,2]. In November 2022, Open AI introduced the first LLM, Chat GPT, marking a significant advancement in the NLP domain [3].
J Med Internet Res 2025;27:e67883
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Perinatal depression, a condition common in pregnant women, is higher among adolescent mothers than older mothers [10,11] occurring during pregnancy and up to one year after childbirth. Untreated perinatal depression is a risk for negative health outcomes for mothers and their infants [12].
JMIR Form Res 2025;9:e42406
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For example, a narrative review of an MBC approach in behavioral health clinics found such benefits as significantly improving clinical outcomes, improving symptoms more quickly, and decreasing treatment costs [6].
To this end, the EPI-CAL team chose to design and implement a web-based and tablet app called Beehive.
JMIR Hum Factors 2025;12:e65889
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In phase 2, the chosen assessment version covering most unmet needs was tested in a memory clinic. A tablet computer was deemed most appropriate to serve as digital device due to its size, weight, flexibility, and ease of handling. Based on a previous study on the use of a tablet-based digital expert system [26,28,30], we had taken several decisions on the hardware basis of our system before the participatory part of our study started.
JMIR Aging 2025;8:e59942
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Perceived usefulness refers to the belief that a certain technology would increase an individual’s job performance. Perceived ease of use is a belief that the use of the new technology would be effortless [27]. TAM proposes that a populations’ perceptions of usefulness and ease of use of a technology impact the population’s intention to use the technology, which in turn influences the population’s actual usage of the technology.
JMIR Form Res 2025;9:e62741
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