Showing 5,681 - 5,700 results of 6,705 for search '"\"((\\"factor AND regression analyzed\\") OR (\\"factors AND regression analyzed\\"))*\""', query time: 0.18s Refine Results
  1. 5681

    Early Prediction Detection of Retail and Corporate Credit Risks Using Machine Learning Algorithms by Mohamed A. Hamada, Karim Farag, Adejor E. Abiche

    Published 2025-04-01
    “…The findings showed that the Random Forest and Kernel SVM can be used to improve the prediction of corporate and retail credit risk by utilizing bank-specific factors like profitability, liquidity, income diversification, capital, asset size, and operating efficiency, as well as macroeconomic factors like external debt, inflation, exchange rate, GDP, interest rate, and foreign direct investment.   …”
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  2. 5682

    Inspection Data-Driven Machine Learning Models for Predicting the Remaining Service Life of Deteriorating Bridge Decks by Gitae Roh, Changsu Shim, Hyunhye Song

    Published 2025-08-01
    “…In a bid to address this lack, this study focuses on PSC-I type bridges in South Korea, utilizing long-term field inspection data to analyze environmental, structural, and material factors—including reinforcement corrosion, chloride diffusion, and freeze–thaw actions. …”
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  3. 5683

    Establishment of a nomogram model for predicting the risk of diabetic nephropathy in diabetic patients by HOU Xin-yue, HU Song, FEI Chun-xiao, LIU Shu-hao, SHAO Li-yan, XING Ang

    Published 2020-01-01
    “…Statistically significant variables were included in multivariate logistic regression model to analyze DN risk factors. R-software was used to construct a nomogram model for predicting DN risk. …”
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  4. 5684
  5. 5685

    Positive self-perceived health of octogenarians participating in community groups by Rodrigo Krug, Ione Schneider, Susana Confortin, Danielle Antes, Maruí Giehl, Marize Lopes, André Xavier, Eleonora d'Orsi, Giovana Mazo

    Published 2017-03-01
    “… The aim of this study was to analyze the factors associated with positive self-perceived health of octogenarians participating in community groups in the city of Florianópolis, Southern Brazil. …”
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  6. 5686

    Bladder cancer in Saudi Arabia: a registry-based nationwide descriptive epidemiological and survival analysis by Mohammad Ali Alghafees, Meshari A. Alqahtani, Ziyad F. Musalli, Ahmed Alasker

    Published 2022-01-01
    “…OBJECTIVE: Describe the epidemiology and analyze factors associated with survival in patients with BC in Saudi Arabia. …”
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  7. 5687

    TBM shield mud cake prediction model based on machine learning by Qi Zhang, Peng Xu, Jing Zhang, Zhao Yang, Yu Li, Xintong Kong, Xiao Yuan

    Published 2025-03-01
    “…The introduction of the interpretable method SHAP for analyzing the relationships between various factors extends beyond simple linear relationships, allowing for the examination of nonlinear patterns among factors.…”
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  8. 5688

    Worldwide Incidence and Mortality of Bladder Cancer and Human Development Index: An Ecological Study by Elham Goodarzi, Malihe Sohrabivafa, Ali Hasanpour Dehkordi, Zaher Khazaei

    Published 2020-04-01
    “…The incidence and mortality rates and BC distribution maps were drawn for world countries. To analyze data, correlation test and regression tests were used to evaluate the correlation between the incidence and mortality with the Human Development Index (HDI). …”
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  9. 5689

    Analysis of hydroxocobalamin dosage in patients with CblC deficiency by Si Ding, Yuxin Deng, Yi Ding, Lili Hao, Wenjuan Qiu, Huiwen Zhang, Lili Liang, Ting Chen, Xia Zhan, Peng Xu, Chiju Yang, Hui Zou, Yongxing Chen, Shengnan Wu, Yufeng Wang, Min Yang, Xuefan Gu, Xianting Jiao, Lianshu Han

    Published 2025-08-01
    “…Hydroxocobalamin (OHCbl) is the main important therapeutic approach, while no approved protocols on its dosage during stable periods exist. This study aims to analyze OHCbl dosage and explore its influencing factors, providing reference for the option of OHCbl dosage. …”
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  10. 5690

    The effect of GM-CSF and predictors of treatment outcome in pediatric septic shock patients by Zhen-Hao Yu, Gui-Xiang Tian, Yao-Dong Wang, Ting-Yan Liu, Peng Shi, Jia-Yun Ying, Wei-Ming Chen, Yu-Feng Zhou, Guo-Ping Lu, Cai-Yan Zhang

    Published 2025-02-01
    “…Granulocyte-macrophage colony-stimulating factor (GM-CSF) has been explored as a therapeutic intervention to counteract this immunosuppression. …”
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  11. 5691

    Association between physical activity across diversed domains and sedentary behavior with sleep disorders by Jipeng Zhang, Hongfei Mo, Junkai Feng, Zhipeng Jiao, Wenjun Yang, Zhengwei Xue, Rui Feng

    Published 2025-05-01
    “…The associations of each type of physical activity and sleep disorders were analyzed through binary Logistic regressions. There were significant differences in work physical activity (P = 0.043), sedentary behavior (P < 0.001) and recreational physical activity (P = 0.001) among sleep disorders, the difference in transportation physical activity was nearly significant (P = 0.055). …”
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  12. 5692

    Impacts of government attention on achieving Sustainable Development Goals: Evidence from China by Chenggang Li, Ziling Chen, Qutu Jiang, Mu Yue, Liang Wu, Youhui Bao, Bei Huang, Alexander Boxuan Wang, Yuanyuan Tan, Zhenci Xu

    Published 2025-04-01
    “…This study employs text analysis and a panel regression model to analyze the impacts of government attention intensity, text similarity, and tone on the achievement of SDGs, utilizing data extracted from China’s Government Work Reports spanning the decade from 2010 to 2020. …”
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  13. 5693

    No sex differences in the association between regional brain structure abnormalities and cognitive functioning in a geriatric memory clinic population by A. Lamé, E.G. Thomas, S.A.J. van de Schraaf, C. Groot, C.H. Sudre, F. Barkhof, M. Muller, R. Ossenkoppele, H.F.M. Rhodius-Meester

    Published 2025-01-01
    “…Therefore, we explored sex differences in brain structure abnormalities and in the association between brain structure abnormalities and cognitive functioning. We analyzed global and regional volumetric measures of WMH and GM of 475 patients visiting an academic geriatric memory clinic in the Netherlands with multiple linear regression analyses. …”
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  14. 5694

    The impact of Basel III implementation on the financial performance of the banking industry in Bangladesh by Nafis Yamin, Mostafa Asif, Md. Abu Hasnat, Mohammed Monzurul Islam, Muhammad Nasiruddin, Hissan Khandakar, Md. Azizur Rahman

    Published 2025-02-01
    “…This variety ensures a comprehensive understanding of different banking models and their challenges, representing the scenario of the whole industry. A multivariate regression model with fixed effects, determined by the Hausman test, was employed to analyze the relationship between capital adequacy (CRAR, Core Capital Tier-1, Tier-1, and Tier-2 Capital Ratios) and bank-specific factors (size, provisions) on performance indicators (ROA and NPL). …”
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  15. 5695

    Impact of Social Determinants of Health on Postoperative Health-Related Quality of Life Among Patients Undergoing Colorectal Cancer Surgery by Tanaporn Thongdeebut, Suporn Danaidutsadeekul, Warunee Phligbua, Varut Lohsiriwat

    Published 2025-05-01
    “…Data were collected using questionnaires and analyzed with descriptive statistics, one-way ANOVA, Pearson correlation, and multiple regression analysis. …”
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  16. 5696

    Acceptance of telehealth in the Kingdom of Saudi Arabia: an application of the UTAUT model by Abdullah A. Almojaibel, Assim M. AlAbdulKader, Mohammad A. Al-Bsheish, Abdulelah M. Aldhahir, Saeed M. Alghamdi, Fatma I. Almaghlouth, Abdullah S. Alqahtani, Jaber S. Alqahtani, Yousef D. Alqurashi, Mohammed E. Alsubaiei, Abdulrahman M. Jabour, Mu’taman K. Jarrar, Jithin K. Sreedharan, Shoug Y. Al Humoud

    Published 2025-12-01
    “…Part 2 employed the Unified Theory of Acceptance and Use of Technology (UTAUT), which includes performance expectancy (PE), effort expectancy (EE), social influence (SF), and facilitating conditions (FC) in addition to the Behavioral Intention (BI) subscale to examine factors influencing telehealth acceptance. The associations between the sociodemographic variables and each construct of the UTAUT and the associations between the sociodemographic variables of participants who agreed for each construct and BI to use telehealth were analyzed using bivariate logistic regression to evaluate predictors. …”
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  17. 5697

    EFFECTS OF LAND CONSOLIDATION ON AGRICULTURAL ENTERPRISES IN CIHANBEYLI DISTRICT TURKIYE: AN EVALUATION FROM THE PRODUCER PERSPECTIVE by Şinasi AKDEMIR, Ufuk GÜLTEKIN, Kasım Eren TUNA, Issaka Saidou ISMAILLA

    Published 2024-01-01
    “…Analyzes revealed that there is a significant relationship between factors such as education level, agricultural experience and number of tractors and changes in farmers' land holdings and number of parcels after land consolidation. …”
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  18. 5698

    Correlation study of CAR, PLR, NLR with the prognosis of cardiogenic cerebral embolism patients by Xiaojing Du, Xiaohui Li, Sheng Yue, Yuzhen Sun, Mengzhen Zhao, Lingshan Zhou, Xingwei Wang, Yapan Yang

    Published 2025-06-01
    “…Multivariate analysis identified CAR and NLR as independent risk factors for unfavorable prognosis (OR = 1.034 for CAR, OR = 3.887 for NLR). …”
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  19. 5699

    Elevated urinary phthalate levels in endometrial cancer patients: Evidence from a comparative study by Hao Lin, Wen-Chin Lee, Yin-Yi Chen, Fu-Jen Cheng, Wan-Ting Huang, Kai-Fan Tsai, Shau-Hsuan Li, Chia-Te Kung, Yu-Che Ou

    Published 2025-09-01
    “…The lack of lifestyle or dietary influence highlights the complexity of exposure sources, emphasizing the need for further research to understand underlying mechanisms and environmental factors contributing to phthalate exposure.…”
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  20. 5700

    The role of cerebrovascular reactivity on brain activation during a working memory task in type 2 diabetes by Yarden Oliel, Ramit Ravona‐Springer, Maayan Harel, Joseph Azuri, Chen Botvin Moshe, David Tanne, Salo Haratz, Barbara B Bendlin, Michal Schnaider Beeri, Abigail Livny

    Published 2025-01-01
    “…Abstract INTRODUCTION Impaired cerebrovascular reactivity (CVR) is common in type 2 diabetes (T2D) patients and is a risk factor for dementia. However, most prior functional magnetic resonance imaging (fMRI) studies in T2D disregarded the impact of impaired CVR on brain activation patterns. …”
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