Showing 1 - 14 results of 14 for search 'multiple age direction algorithm', query time: 0.29s Refine Results
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    Participant characteristics. by Shreya Jain (4498231)

    Published 2025
    “…Here, we explore whether perceptions of the severity of a gait disturbance are sensitive to the direction of the resulting loss of balance – forward or backward – and whether these perceptions change with age. …”
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    Data Sheet 1_Temporal patterns of multiple long-term conditions in individuals with intellectual disability living in Wales: an unsupervised clustering approach to disease trajecto... by Rania Kousovista (18945466)

    Published 2025
    “…Significant pairwise disease associations were identified, and their temporal directionality assessed. Subsequently, an unsupervised clustering algorithm—spectral clustering—was applied to the shared disease trajectories, grouping them based on common temporal patterns.…”
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    Study flow diagram. by Shahrokh Mousavi (21989418)

    Published 2025
    “…We aimed to develop machine learning-based models using multiple algorithms to predict and identify the predictors of angina pectoris in an elderly community-dwelling population.…”
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    Table_2_Effects of alcohol-related problems on the costs of frequent emergency department use: an economic analysis of a case–control study in Spain.pdf by Clara Oliveras (10828899)

    Published 2024
    “…Costs and duration of stay were compared between cases and controls using paired-samples t-tests, and ED users with and without alcohol-related problems were compared using bivariate (independent-samples t-tests, one-way analysis of variance, Chi square tests, and multiple linear regression) and multivariate analyses (multiple linear regression models with backward stepwise selection algorithm, and dependent variable: total mean direct costs).…”
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    Table_1_Effects of alcohol-related problems on the costs of frequent emergency department use: an economic analysis of a case–control study in Spain.pdf by Clara Oliveras (10828899)

    Published 2024
    “…Costs and duration of stay were compared between cases and controls using paired-samples t-tests, and ED users with and without alcohol-related problems were compared using bivariate (independent-samples t-tests, one-way analysis of variance, Chi square tests, and multiple linear regression) and multivariate analyses (multiple linear regression models with backward stepwise selection algorithm, and dependent variable: total mean direct costs).…”
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    Table_3_Effects of alcohol-related problems on the costs of frequent emergency department use: an economic analysis of a case–control study in Spain.pdf by Clara Oliveras (10828899)

    Published 2024
    “…Costs and duration of stay were compared between cases and controls using paired-samples t-tests, and ED users with and without alcohol-related problems were compared using bivariate (independent-samples t-tests, one-way analysis of variance, Chi square tests, and multiple linear regression) and multivariate analyses (multiple linear regression models with backward stepwise selection algorithm, and dependent variable: total mean direct costs).…”
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    Exploratory factor analysis of PCL-5. by Josleen Al Barathie (12274065)

    Published 2025
    “…Understanding PCL-5’s structural factors is crucial, as it directly impacts diagnostic algorithms in clinical and research settings and informs knowledge about PTSD’s comorbidities. …”
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    Scree plot. by Josleen Al Barathie (12274065)

    Published 2025
    “…Understanding PCL-5’s structural factors is crucial, as it directly impacts diagnostic algorithms in clinical and research settings and informs knowledge about PTSD’s comorbidities. …”
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    Descriptive statistics by genders. by Josleen Al Barathie (12274065)

    Published 2025
    “…Understanding PCL-5’s structural factors is crucial, as it directly impacts diagnostic algorithms in clinical and research settings and informs knowledge about PTSD’s comorbidities. …”
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    Supplementary file 1_3D histological mapping of hippocampal subfields: a comparative study in patients with schizophrenia and healthy controls.pdf by Halil İbrahim Öztürk (22374673)

    Published 2025
    “…We analysed T1-weighted MRI data from the MCICShare project, employing the ComBat algorithm to harmonize data across multiple MRI platforms. …”
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    <b>Multimodal MRI radiomics</b><b> based on </b><b>habitat subregions of the tumor microenvironment</b><b> for predicting risk stratification in glioblastoma</b> by Han Wang (21457334)

    Published 2025
    “…</p><p dir="ltr">A fully automated approach involving label fusion from multiple deep learning algorithms was used to segment distinct tumor subregions histologically. …”