Showing 641 - 660 results of 1,803 for search 'Evaluation Group for Analysis of Data', query time: 0.09s Refine Results
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    Machine learning analysis of cervical balance in early-onset scoliosis post-growing rod surgery: a case-control study by Bo Han, Junrui Jonathan Hai, Aixing Pan, Yingjie Wang, Yong Hai

    Published 2025-01-01
    “…CL, T1 slope, and C2-7 SVA increased significantly in the final follow-up compared with the pre-operative data. (P < 0.05). The CL and T1 slope increased more significantly in the group of patients who had proximal junctional kyphosis (PJK) compared with the patients without PJK (P < 0.05). …”
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    Factors associated with physical fitness and disparities in population segments among older adults: A cross-sectional study by Yuqin Rao, Jingjing Wang, Kai Li, Fanhui Zheng, Ying Chen, Bo Zhai, Jintao Hong, Chen Wang, Bao Liu, Dao Wang

    Published 2025-01-01
    “…Factors associated with physical fitness were analyzed using ordered probit regression, and within-group differences were evaluated through the bootstrap method. …”
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  7. 647

    Machine Learning–Based Risk Factor Analysis and Prediction Model Construction for the Occurrence of Chronic Heart Failure: Health Ecologic Study by Qian Xu, Xue Cai, Ruicong Yu, Yueyue Zheng, Guanjie Chen, Hui Sun, Tianyun Gao, Cuirong Xu, Jing Sun

    Published 2025-01-01
    “…ResultsRF-selected features (21 in total) had an average root mean square error of 0.30, outperforming principal component analysis. Synthetic Minority Oversampling Technique and Edited Nearest Neighbors showed better accuracy in data balancing. …”
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    Assessment of Oxidative Stress by the Estimation of Lipid Peroxidation Marker Malondialdehyde (MDA) in Patients with Chronic Periodontitis: A Systematic Review and Meta-Analysis by Khadijah Mohideen, Krithika Chandrasekar, Saranya Ramsridhar, Chandini Rajkumar, Snehashish Ghosh, Safal Dhungel

    Published 2023-01-01
    “…Out of these, 16 articles had coherent data for quantitative synthesis. The meta-analysis used the standardized mean differences method at a 95% confidence interval by random-effects model. …”
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    Semantic analysis of test items through large language model embeddings predicts a-priori factorial structure of personality tests by Nicola Milano, Maria Luongo, Michela Ponticorvo, Davide Marocco

    Published 2025-01-01
    “…In this article, we explore the use of Large Language Models (LLMs) for predicting factor loadings in personality tests through the semantic analysis of test items. By leveraging text embeddings generated from LLMs, we evaluate the semantic similarity of test items and their alignment with hypothesized factorial structures without depending on human response data. …”
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    Tear Strength Analysis of MDX4-4210 and A-2186 Silicones with Different Intrinsic Pigments Incorporated by Mechanical and Industrial Methods by Marcelo Coelho Goiato, Adhara Smith Nobrega, Emily Vivianne Freitas da Silva, Daniela Micheline dos Santos, André Pinheiro de Magalhães Bertoz, Mariana Vilela Sonego, Clovis Lamartine de Moraes Melo Neto

    Published 2019-01-01
    “…The aim of this study was to evaluate the tear strength of MDX4-4210 and A-2186 silicones with different intrinsic pigments incorporated by mechanical and industrial methods, comparing nonaged and aged groups. …”
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    Sedentary Behavior and Its Association With Psychological Well-Being and Sleep Quality in Adolescents: Evidence from a Propensity Score Analysis by Zhang L, Zhao S, Zhao S, Zheng H, Ke Y, Yang W, Lei M

    Published 2025-02-01
    “…Data on demographics, exercise habits, eating patterns, sedentary behavior, psychological health, sleep health, self-esteem, and social support were collected. …”
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    Refining prognostic assessment of diffuse large B-cell lymphoma: insights from multi-omics and single-cell analysis unveil SRM as a key target for regulating immunotherapy by Xiaojie Liang, Jia Guo, Baiwei Luo, Weixiang Lu, Qiumin Chen, Yeling Deng, Yunong Yang, Liang Wang

    Published 2025-01-01
    “…Methods Using data from multiple researches, we comprehensively evaluated the characteristics and prognostic impact of PSI features in DLBCL, and developed a novel risk stratification model (PSI score) with a consistent cutoff value to stratify the risk of 3,229 DLBCL patients from different cohorts. …”
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