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College Community–Based Physical Activity Support at a Public University During the COVID-19 Pandemic: Retrospective Longitudinal Analysis of Intra- Versus Interpersonal Components for Uptake and Outcome Association

College Community–Based Physical Activity Support at a Public University During the COVID-19 Pandemic: Retrospective Longitudinal Analysis of Intra- Versus Interpersonal Components for Uptake and Outcome Association

This feature was only used by a few individuals, whereas the features in the subsequent 3 bullets were used by a majority of the 335 participants. g The top 3 teams by average step count per member received T-shirts, grouped by the academic status of users who founded the team. Participants could actively form their own teams. Those not doing so were randomly assigned to a team in the first half of the first week of the challenge.

Garrett I Ash, Selene S Mak, Adrian D Haughton, Madilyn Augustine, Phillip O Bodurtha, Robert S Axtell, Beatrice Borsari, Jason J Liu, Shaoke Lou, Xin Xin, Lisa M Fucito, Sangchoon Jeon, Matthew Stults-Kolehmainen, Mark B Gerstein

JMIR Mhealth Uhealth 2025;13:e51707

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Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study

Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study

Using the tokenized CUI data created in the International Classification of Diseases rollup using tokenization (ICDR-T) approach, we converted each vector of tokens to a 1232-dimensional sparse binary vector, where each index of the sparse vectors represents the presence or absence of a CUI contained by the ICD rollup grouping corresponding to that index. Our next approach to CUI parameterization extended our standard tokenization (ST).

Charles A Kotula, Jennie Martin, Kyle A Carey, Dana P Edelson, Dmitriy Dligach, Anoop Mayampurath, Majid Afshar, Matthew M Churpek

J Med Internet Res 2025;27:e75340

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