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Skip search results from other journals and go to results- 197 Journal of Medical Internet Research
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The y-axes of the plot show impactful features and their corresponding values in brackets. Specifically, contributing features highlighted in blue, such as “Blaming Herself”=1.00 (hardly ever) and “Feeling Lonely”=1.00 (hardly ever), contribute to shifting the model’s prediction toward the low-risk category. These 2 features stand out, suggesting that “hardly ever feeling lonely” and “hardly ever blaming herself” are strongly protective factors for this Aboriginal mother.
J Med Internet Res 2025;27:e68030
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As much as like 100 percent lived experiences and what people have gone through is so important and can be relayed, but I just would also worry that things would be maybe not communicated clearly and I would just worry that like, ‘Oh, someone said that high dose vitamin C treatments at this random clinic did something.’ And just that is the only like little thing in my ear that’s saying like just be careful is all.”
JMIR Cancer 2025;11:e57834
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Y-axis represents the probability a participant is classified as a carrier or noncarrier based on their mean response time. The blue line represents the binomial relationship between response time and carrier status with faster response time more associated with being a carrier and slower response time more associated with being a noncarrier. The gray ribbon represents the 95% CI of the estimated probability of binomial relationship. (B) Mean Super G time in target between female and male participants.
JMIR Aging 2025;8:e67298
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We will send recruitment letters describing the study to African American women (aged 50-75 y) who broadly meet eligibility criteria (eg, no history of myocardial infarction or ischemic stroke) from our respective hospital databases. In addition, we will recruit women through community clinics, churches, health fairs, hair salons, social media, newspaper advertisements, and word of mouth.
JMIR Res Protoc 2025;14:e65649
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Reliability diagrams for different model types (rows) and patient subsets (columns) showing the actual fraction of patient snapshots with delirium for groups with a given predicted risk of delirium (blue squares, left y-axis). Error bars show the bootstrap 95% CI. The gray bars in the background show the number of patient snapshots in each predicted probability bin (y-axis on the right). ECE and MCE are with a 95% CI. ECE: expected calibration error; MCE: maximum calibration error.
JMIR Med Inform 2025;13:e60442
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