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Skip search results from other journals and go to results- 1468 Journal of Medical Internet Research
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Reference 33: C-Pack: Packed resources for general chinese embeddings
J Med Internet Res 2025;27:e71873
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Digital sleep interventions demonstrated a significant medium effect on sleep efficiency (Hedges g=0.62, 95% CI 0.18-1.05; P=.005; I2=60%), with substantial heterogeneity among studies. However, nonsignificant effects were observed for NWAK (P=.27), TST (P=.07), and WASO (P=.18). The detailed results are provided in Figure 4 [42,45,49,50].
Although sleep parameters are crucial outcomes, the certainty of the evidence ranged from “very low” to “low” (Table S1 in Multimedia Appendix 4).
J Med Internet Res 2025;27:e69657
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The discriminative ability was assessed using the Harrell C-statistic (C-index) and the time-dependent receiver operating characteristic (ROC) curve. The agreement between observed and predicted event rates was evaluated using calibration plots in deciles of predicted risk. Calibration was considered optimal when the calibration curve was close to the diagonal line, reflected by an observed-to-expected ratio near 1 [14], and the Hosmer-Lemeshow test showed a P value greater than .05.
J Med Internet Res 2025;27:e67253
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(C) Ten-year sub-timeseries sample set construction: segmenting the 10-year sub-timeseries (one window) according to year-by-year sliding. In the example shown for 2002-2022, there are 12 sliding windows in total. The first 7 years in each sub-timeseries is the training set, the eighth year is the validation set, and the ninth and tenth year are the testing set. In the database used in this study, we analyzed 72 sub-timeseries datasets (12 samples×6 groups) from the overall population and age subgroups.
J Med Internet Res 2025;27:e67156
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In simple beta regression models with a single strategy or concern as the predictor variable, the use of negative emotional appeals (β=.94, P
In a multiple beta regression model including all the persuasive strategies and health concerns as predictor variables, the overall regression was statistically significant (likelihood ratio χ224=75.8, P
Simple and multiple beta regression of persuasive strategies and health concerns on the selection of a tweet as most concerning.
J Med Internet Res 2025;27:e54657
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Building on the work of Chen and Pan [73], which highlighted the challenges of detecting nuanced and imbalanced data, we applied advanced data augmentation techniques (eg, SMOTE and LDA) to effectively address class imbalances. These methods significantly enhanced model performance for minority classes, such as antihate content.
J Med Internet Res 2025;27:e72822
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Statistical significance was defined as a 2-sided P value of
Patient baseline characteristics were summarized with medians and IQRs for continuous variables and with counts (percentages) for categorical variables. A generalized linear mixed-effects model was used for the estimation of an intervention effect.
JMIR Med Educ 2025;11:e54911
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The average score of participants who received distance learning was 3.46 (SD 1.49), higher than those who did not (mean 3.13, SD 1.39; P
Self-evaluation milestone scores for radiology residents between distance learning and nondistance learning.
a PC: patient care.
b MK: medical knowledge.
c SBP: system-based practice.
d PBLI: practice-based learning and improvement.
e PROF: professionalism.
f ICS: interpersonal communication skill.
JMIR Med Educ 2025;11:e54228
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A fixed-effects meta-analysis revealed a statistically significant decrease in sitting time among older adults receiving m Health interventions compared with those receiving conventional health interventions or no intervention (WMD=59.1, 95% CI 99.1 to 20.2; Z=3.0; P=.003; Figure 3).
Forest plot of the effect of m Health interventions on sitting time (min/day) [37,41,44]. The study “Lyons et al” [37] was a pilot study.
J Med Internet Res 2025;27:e60889
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