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Skip search results from other journals and go to results- 864 Journal of Medical Internet Research
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Understanding Gender-Specific Daily Care Preferences: Topic Modeling Study
LDA topic modeling, an unsupervised machine learning technique and a generative probabilistic algorithm, aims to uncover the number of topics (K) within extensive document collections [22]. A random mixture of latent topics represents these documents, defining the distribution of topics within a specific document (α) and the distribution of words for a given topic (β) [22,23]. The latent topic themes are not directly observable and thus necessitate inference based on their constituent words.
J Med Internet Res 2025;27:e64160
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The results in this table do not account for missing values or days with no survey forms received or no ninth item filled in the mood survey.
a Spearman correlation between Patient Health Questionnaire-9 total and SI score at ecological momentary assessment prompts was 0.47 (n=3176, P=10 and suicidal ideation score ≥1 was 0.32 (n=245, P
b Disregarding the episodic pattern.
c To understand the difference between “days between successive SI instances” and “episode duration” (refer to the episode data in Table 3),
JMIR Form Res 2025;9:e67745
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The significance level was set as P
This study was approved by the Ethical Review Committee of the NINS&H (approval number: IRB/NINS/2022/151), Dhaka, Bangladesh. All participants provided written informed consent. In case the patients could not take care of themselves and needed family caregivers’ support for their daily activities, we obtained written informed consent from the family caregivers instead, considering them as participants.
JMIR Public Health Surveill 2025;11:e72233
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We only reported differences that were statistically tested and for which P values, CIs, or effect sizes were available.
Descriptions and examples of social media–related outcomes to be extracted from studies.
a Exposure, reach, and low-, medium-, and high-level engagement were measured using a version of key performance indicators and metrics related to social media use in health promotion adapted from Neiger et al [26].
J Med Internet Res 2025;27:e68124
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