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Skip search results from other journals and go to results- 306 Journal of Medical Internet Research
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Chi-square tests were used to compare the proportion of participants achieving clinically significant weight loss (≥5%, ≥10%, and ≥15% of baseline weight) between the engaged and nonengaged groups. In cases where small sample sizes or low expected frequencies were present (ie, n
To assess the time-to-event data for achieving clinically significant weight loss, Kaplan-Meier survival analysis was performed, comparing the time to reach ≥5%, ≥10%, and ≥15% weight loss between the engaged and nonengaged groups.
J Med Internet Res 2025;27:e69466
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Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review
For instance, Huang et al [19] demonstrated that providing LLMs with example outputs for few-shot learning and chain-of-thought reasoning methods for prompting yielded higher classification performance compared to baseline zero-shot applications of LLMs for data extraction. The careful design of prompting methodologies personalized to specific tasks and clinical domains within oncology may yield more accurate and efficient data extraction performance [49].
JMIR Cancer 2025;11:e65984
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Differences among the intervention periods were analyzed using chi-square or Fisher exact tests. The Bonferroni method was applied to adjust for multiple comparisons. All statistical analyses were conducted using R software (version 4.1.0, R Foundation for Statistical Computing).
J Med Internet Res 2025;27:e59220
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