Showing 41 - 60 results of 186 for search '"health data"', query time: 0.06s Refine Results
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    Unraveling multimodality of digital health records by comparing mortality trajectories of diagnoses of diseases from over 12 million patients. by Hyojung Paik

    Published 2025-01-01
    “…Understanding the multimodality of digital health data, including the scope of death records, is essential for adequate data acquisition to build a research framework for the health sciences. …”
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    An institutional framework to support ethical fair and equitable artificial intelligence augmented care by Steven Dykstra, Matthew MacDonald, Rhys Beaudry, Dina Labib, Melanie King, Yuanchao Feng, Jacqueline Flewitt, Jeff Bakal, Bing Lee, Stafford Dean, Marina Gavrilova, Paul W. M. Fedak, James A. White

    Published 2025-02-01
    “…Abstract Coordinated access to multi-domain health data can facilitate the development and implementation of artificial intelligence-augmented clinical decision support (AI-CDS). …”
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    Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clustering on multi-modal data by Alexia Giannoula, Audrey E. De Paepe, Ferran Sanz, Laura I. Furlong, Estela Camara

    Published 2025-01-01
    “…A Dynamic Time Warping-based unsupervised-clustering methodology is presented in this paper for the clustering of patient trajectories of multi-modal health data on the basis of shared temporal characteristics. …”
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    Unmasking health determinants and health outcomes for urban First Nations using respondent-driven sampling by J Smylie, M Firestone, S Maracle, M Spiller, P O'Campo

    Published 2014-07-01
    “…Objective Population-based health information on urban Aboriginal populations in Canada is limited due to challenges with the identification of Aboriginal persons in existing health data sets. The main objective of the Our Health Counts (OHC) project was to work in partnership with Aboriginal stakeholders to generate a culturally relevant, representative baseline health data set for three urban Aboriginal communities in Ontario, Canada.Design Respondent-driven sampling (RDS).Setting Hamilton, Ontario, Canada.Participants The OHC study, in partnership with the De dwa da dehs ney >s Aboriginal Health Access Centre (DAHC), recruited 554 First Nations adults living in Hamilton using RDS.Results Among First Nations adults living in Hamilton, 78% earned less than $20 000 per year and 70% lived in the lowest income quartile neighbourhoods. …”
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    Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data by Johnny Downs, Robert Stewart, Alice Wickersham, Sumithra Velupillai, Lucile Ter-Minassian, Natalia Viani, Lauren Cross

    Published 2022-12-01
    “…Sociodemographic biases were effectively reduced by a fair pre-processing algorithm without loss of accuracy.Conclusions ML approaches using linked routinely collected education and health data offer accurate, low-cost and scalable prediction models of ADHD. …”
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    Use of Electronic Data and Existing Screening Tools to Identify Clinically Significant Obstructive Sleep Apnea by Carl A Severson, Sachin R Pendharkar, Paul E Ronksley, Willis H Tsai

    Published 2015-01-01
    “…OBJECTIVES: To assess the ability of electronic health data and existing screening tools to identify clinically significant obstructive sleep apnea (OSA), as defined by symptomatic or severe OSA.…”
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