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Skip search results from other journals and go to results- 6 Journal of Medical Internet Research
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Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study
To estimate the age and gender of the user, we adopted the M3-inference model proposed by Wang et al [58]. The M3 model performs multimodal analysis on a user’s profile image, username, and description. Following M3’s structure, we labeled each user with a binary gender label (as approximation) and a one-hot age label among four age intervals (≤18 years, 19-29 years, 30-39 years, ≥40 years), which were then used in our fusion model.
JMIR Infodemiology 2021;1(1):e26769
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For example, in the case on sepsis identification, there are four methods available, [29-32] including Angus et al, Martin et al, Dombrovskiy et al, and Wang et al. We believe this clinical knowledge should be preserved and converted into a shareable template for a collaborative research network. These templates can be quickly searched and reused for inclusion/exclusion criteria of patient identification in the Template Library.
J Med Internet Res 2018;20(4):e142
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