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elifesciences.org | ||
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bjgpopen.org
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| | | | | Background Adverse childhood experiences (ACEs) are linked to negative health outcomes in adulthood. Poor engagement with services may, in part, mediate the association between adverse outcomes and ACEs. While appointment recording is comprehensive, it is not yet known if or how ACEs are recorded in the GP clinical record (GPR). Aim To investigate recording of ACEs in the GPR and assess associations between available ACE-related Read codes and missed appointments. Design & setting Retrospective cohort study of 824?374 anonymised GPRs. Nationally representative sample of 136 Scottish general practices; data collected 2013-2016. Method Read codes were mapped onto ACE questionnaire and wider ACE-related domains. Natural language processing (NLP) was used to aug... | |
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diabetesjournals.org
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| | | | | OBJECTIVE. While existing evidence supports beneficial cardiovascular effects of glucagon-like peptide 1 (GLP-1), emerging studies suggest that glucose-dependen | |
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www.jmir.org
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| | | | | Background: Interactive digital technology use is integral to adolescents lives and has been associated with both health benefits and risks. Previous studies have largely focused on measuring the quantity of technology use or understanding the use of specific platforms. To better understand adolescents interactive digital technology use, we need new approaches that consider technology interactions and their importance. Objective: This study aimed to develop an assessment tool to evaluate adolescents digi... | |
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iclr-blogposts.github.io
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| | | Diffusion Models, a new generative model family, have taken the world by storm after the seminal paper by Ho et al. [2020]. While diffusion models are often described as a probabilistic Markov Chains, their underlying principle is based on the decade-old theory of Stochastic Differential Equations (SDE), as found out later by Song et al. [2021]. In this article, we will go back and revisit the 'fundamental ingredients' behind the SDE formulation and show how the idea can be 'shaped' to get to the modern form of Score-based Diffusion Models. We'll start from the very definition of the 'score', how it was used in the context of generative modeling, how we achieve the necessary theoretical guarantees and how the critical design choices were made to finally arri... | ||
