Showing 221 - 240 results of 1,120 for search 'association role algorithm', query time: 0.14s Refine Results
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    Association between pro-inflammatory diet and fecal incontinence: a large population-based study by Haiyang Wang, Haiyang Wang, Zihan Liu, Zihan Liu, Xingfu Lu, Enyu Luan, Enyu Luan, Tingting Dong, Tingting Dong, Can Li, Can Li, Yanni Lv, Erkang Wu, Tao Shen, Tao Shen

    Published 2025-05-01
    “…Meanwhile, we identified key dietary factors for FI using multiple machine learning algorithms. Finally, we assessed the mediation role of inflammatory indicators on the association of key dietary factors with FI through mediation analysis.ResultsAfter adjustment for potential confounding variables, our results showed the highest tertile exhibited dramatically increasing prevalence of FI compared to the lower tertile (OR 1.27, 95% CI 1.06–1.53), suggesting a positive association between DII and FI. …”
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    Article
  4. 224

    Assessing the association of multi-environmental chemical exposures on metabolic syndrome: A machine learning approach by Yehoon Jo, Mi-Yeon Shin, Sungkyoon Kim

    Published 2025-05-01
    “…Emerging evidence suggests that environmental chemical exposures may play a significant role in the development of MetS by disrupting metabolic pathways. …”
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    Article
  5. 225

    Association of marital status with DNA methylation-based biological age among US older adults by Xian Cui, Jianghua Huo, Yaqian Xu, Hui Zhang, Chongyu Ding, Jun Du, Xiangwei Li

    Published 2025-06-01
    “…BackgroundDNA methylation (DNAm) algorithms, such as GrimAge and GrimAge2, have emerged as reliable measures of biological age acceleration and may offer additional insights into health outcomes. …”
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    Article
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    The role of technical chart patterns in the early Bitcoin market: intraday evidence from the Mt.Gox transaction dataset by Kevin Rink

    Published 2025-05-01
    “…Employing a pattern recognition algorithm, we identify hourly trading signals for five major chart patterns. …”
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    Article
  8. 228

    Integrating bioinformatics and machine learning to elucidate the role of protein glycosylation-related genes in the pathogenesis of diabetic kidney disease. by Ziyang Liu, Zengyuan Qin, Wenxin Bai, Shasha Wang, Chunling Huang, Na Li, Lei Yan, Yue Gu, Fengmin Shao

    Published 2025-01-01
    “…This study aimed to investigate the role of protein glycosylation in DKD pathogenesis and its association with gene expression changes, with the goal of identifying diagnostic biomarkers and personalized therapeutic targets.…”
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  9. 229

    The joint role of the immune microenvironment and N7-methylguanosine for prognosis prediction and targeted therapy in acute myeloid leukemia by Zhixiang Chen, Zhixiang Chen, Zhimei Chen, Xiaobo Huang, Xiaobo Huang, Xiaobo Huang, Xiongbin Yan, Xiongbin Yan, Xiaolin Lai, Xiaolin Lai, Shaoyuan Wang, Shaoyuan Wang

    Published 2025-06-01
    “…This study aims to establish an IME-related and m7G-related prognostic model for improved risk stratification and personalized treatment in AML.MethodsImmune score for the Cancer Genome Atlas acute myeloid leukemia (AML) patients were calculated using the ESTIMATE algorithm, followed by identification of immune score-associated differentially expressed genes Non-negative matrix factorization (NMF) clustering was performed to stratify AML subtypes based on immune microenvironment (immune microenvironment)-related DEGs and 29 m7G regulatory genes. …”
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  10. 230

    Exploring the role of mitochondrial metabolism and immune infiltration in myocardial infarction: novel insights from bioinformatics and experimental validation by Jingyi Hou, Jingyi Hou, Jingyi Hou, Lihan Wang, Lihan Wang, Naiqiang Zhu, Xueli Li

    Published 2025-05-01
    “…A protein-protein interaction (PPI) network of mitoDEGs was constructed, and hub mitoDEGs associated with MI were identified using CytoHubba and molecular complex detection (MCODE) algorithms. …”
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    Article
  11. 231

    Exploring the link between the ZJU index and sarcopenia in adults aged 20–59 using NHANES and machine learning by Huan Chen, Ning Du, Hong Xiao, Zhao Wang

    Published 2025-07-01
    “…To improve risk stratification and identify key predictors, machine learning techniques—including Random Forest, SHAP, and the Boruta algorithm—were applied. Each standard deviation increase in ZJU was associated with an 13% higher likelihood of sarcopenia [OR = 1.13, 95% CI 1.08–1.17]. …”
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  12. 232

    Psychometric Properties and the Network Analysis of the Turkish Version of the Multidimensional Flourishing Scale: Associations with Psychological Distress by İbrahim Dadandı, Fatih Aydın

    Published 2025-06-01
    “…In recent years, the role of flourishing in mental health has gained growing recognition, making the establishment of psychometrically and culturally validated instruments crucial for advancing theory and practice. …”
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  13. 233

    Extreme Mediterranean cyclones and associated variables in an atmosphere-only vs. an ocean-coupled regional model by M. Chericoni, M. Chericoni, M. Chericoni, G. Fosser, E. Flaounas, G. Sannino, G. Sannino, A. Anav, A. Anav

    Published 2025-06-01
    “…<p>Complex air–sea interactions play a major role in both the variability and the extremes of the Mediterranean climate. …”
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    Integrative analysis of T cell-associated markers in Ewing sarcoma reveals prognostic signatures and immune dynamics by Umair Ali Khan Saddozai, Umair Ali Khan Saddozai, Chenxu Liu, Chenxu Liu, Fei Yan, Zhendong Lu, Muhammad Babar Khawar, Muhammad Babar Khawar, Muhammad Usman Akbar, Saadullah Khattak, Haibo Sun, Haibo Sun, Ping Yang

    Published 2025-06-01
    “…Immune infiltration was assessed using the CIBERSORT algorithm.ResultsT cell marker analyses revealed key roles in pathways such as PI3K-Akt signaling and immune modulation. …”
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    Transforming Sleep Monitoring: Review of Wearable and Remote Devices Advancing Home Polysomnography and Their Role in Predicting Neurological Disorders by Diana Vitazkova, Helena Kosnacova, Daniela Turonova, Erik Foltan, Martin Jagelka, Martin Berki, Michal Micjan, Ondrej Kokavec, Filip Gerhat, Erik Vavrinsky

    Published 2025-02-01
    “…The paper highlights the integration of hardware innovations, targeted sleep parameters, and partially advanced algorithms, illustrating how these elements converge to provide reliable sleep health information. …”
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    TMEM132A: a novel susceptibility gene for lung adenocarcinoma combined with venous thromboembolism identified through comprehensive bioinformatic analysis by Pei Xie, Yingli Liu, Pingping Bai, Yue Ming, Qi Zheng, Li Zhu, Yong Qi

    Published 2025-05-01
    “…Molecular crosstalk analysis identified candidate genes through differential expression algorithms and disease-association metrics. Functional annotation employed GO and KEGG analyses to elucidate the biological significance of identified CGs. …”
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