Showing 9,241 - 9,260 results of 9,799 for search '"\"((\\"factor AND regression analyzed\\") OR (\\"factors AND regression analyzed\\"))\""', query time: 0.26s Refine Results
  1. 9241

    Unsupervised machine learning revealed a correlation between low-dose statins and favorable outcomes in ICH patients by Chaohua Cui, Haoye Guan, Tonghua Long, Yuru Liang

    Published 2025-06-01
    “…We employed unsupervised machine learning methods and found that low-dose statins improve the prognosis of ICH.MethodsWe employed unsupervised machine learning techniques to analyze unidentified factors within a retrospective cohort related to the prognosis of ICH. …”
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  2. 9242

    Interval walking training as a potential contributor to motor function improvement in adults with type 2 diabetes mellitus: a retrospective analysis by Masanori Yamazaki, Manami Hosokawa, Kohei Kitajima, Mitsuhisa Komatsu

    Published 2025-06-01
    “…Changes in motor function were assessed using a motor function analyzer, and factors associated with these changes were identified using multiple linear regression analysis.ResultsAmong 51 adults with T2DM (including 24 aged ≥65 years), IWT significantly improved F/w (median [IQR]: 1.32 [1.26–1.36] to 1.32 [1.27–1.38] kgf/kg, p = 0.038), RFD/w (9.50 [8.03–13.12] to 10.2 [9.43–11.00] kgf/s/kg, p = 0.001), and BIS (52.0 [44.5–55.0] to 54.0 [48.0–56.0], p = 0.020). …”
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  3. 9243

    Diabetes mellitus risk in post-myocardial infarction patients: FINDRISC versus self-assessment—a cross sectional study by Karianne Nölken, Jakob Linseisen, Philip Raake, Christine Meisinger, Timo Schmitz

    Published 2025-01-01
    “…Furthermore, multivariable logistic regression was used to analyze determinants associated with risk underestimation. …”
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  4. 9244

    A mixed method impact assessment of the use of aerial logistics to improve maternal health and emergencies outcomes in the Ashanti Region of Ghana by Pedro Kremer, Florence Haruna, Christina Briegleb, Maame Esi Amoah, Kenneth Fosu Oteng, Stephanie Boadi, Samuel Dwomoh, Adwoa Bentil, Emmanuel Tinkorang

    Published 2025-03-01
    “…Statistical analysis involved univariate explorations, T-tests, ANOVAs, and Zero-Inflated Poisson regressions, adjusting for factors like poverty. The qualitative study was to describe and analyze changes in providers’ and patients’ satisfaction, perceived quality across maternal health and health emergencies, and experiences using or being treated with the aerial logistics. …”
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  5. 9245

    Effects of RAAS blockade on acute kidney injury in head and neck cancer patients post-chemoradiotherapy by Yi-Ting Chen, Yao-Hung Kuo, Chih-Feng Lin, Chun-Wei Wang, Chiao-Ling Tsai

    Published 2025-06-01
    “…Clinical data and demographics were retrieved. Cox regression models were employed to analyze primary outcomes, including AKI and patient survival. …”
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  6. 9246

    Epidemiology of Burkholderia pseudomallei, Streptococcus suis, Salmonella spp., Shigella spp. and Vibrio spp. infections in 111 hospitals in Thailand, 2022. by Charuttaporn Jitpeera, Somkid Kripattanapong, Preeyarach Klaytong, Chalida Rangsiwutisak, Prapass Wannapinij, Pawinee Doungngern, Papassorn Pinyopornpanish, Panida Chamawan, Voranadda Srisuphan, Krittiya Tuamsuwan, Phairam Boonyarit, Orapan Sripichai, Soawapak Hinjoy, John Stelling, Paul Turner, Wichan Bhunyakitikorn, Sopon Iamsirithaworn, Direk Limmathurotsakul

    Published 2025-01-01
    “…We evaluated factors associated with the incidence of notifiable bacterial diseases (NBDs) caused by 11 pathogens; including Brucella spp., Burkholderia pseudomallei, Corynebacterium diphtheriae, Neisseria gonorrhoeae, Neisseria meningitidis, non-typhoidal Salmonella spp. …”
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  7. 9247

    What are the Psychosocial Predictors of Not Drinking Alcohol in Iranian Adolescents? Applying the Theory of Planned Behavior by Narges Mobasheri, Leila Ghahremani, Abdolrahim Asadollahi, Mohammad Hossein Kaveh

    Published 2024-10-01
    “…Iran, as an Islamic country, has been faced with this issue despite strict religious norms and heavy laws and punishment, especially after the fundamental 1979 revolution. This study aimed to analyze and use theoretical model to identify the factors influencing the intention not to drink alcohol among adolescents in southern Iran.Methods: The cross-sectional study was conducted in mid- 2020 in southern Iran. …”
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  8. 9248

    Psychosocial Variables Associated with Postpartum Depression in Breastfeeding Women: A Prospective Study by Patricia Catala, Lorena Gutiérrez, Carmen Ecija, Cecilia Peñacoba

    Published 2024-03-01
    “…Background: To analyze (Aim 1) if there is an association between maintaining breastfeeding for 4 months after delivery and postpartum depression (n = 160) and (Aim 2) what sociodemographic, obstetric and psychosocial factors are associated to the presence of postpartum depression among the women who continue to breastfeed for 4 months after delivery (n = 81). …”
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  9. 9249

    Black Lung Disease among Coal Miners: First Ever Evidence from Indonesia’s National Coal Production Report by Kurnia Ardiansyah Akbar, Kraiwuth Kallawicha

    Published 2024-11-01
    “…This study aimed to investigate and identify specific factors influencing the incidence of black lung disease among coal miners in Indonesia. …”
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  10. 9250

    Marketing Dynamics of Muslim MSMEs In Bengkulu Province: Product Innovation, Competitive Advantage, and Market Orientation in Improving Marketing Performance by Herry Novrianda, Aan Shar

    Published 2025-03-01
    “…The data were subjected to reliability and validity tests based on pre-test results, and multiple linear regression was applied to analyze the main hypotheses. …”
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  11. 9251

    Short-term effect of anti-VEGF for chronic central serous chorioretinopathy according to the presence of choroidal neovascularization using optical coherence tomography angiography... by Yong-Yeon Song, Hwa-Young Yu, Seung-Kook Baek, Young-Hoon Lee, Min-Woo Lee

    Published 2021-01-01
    “…Univariate and multivariate linear regression analyses were performed to identify factors associated with the visual outcome of chronic CSC with CNV after IVB.…”
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  12. 9252

    Machine learning-assisted quantitative prediction of thermal decomposition temperatures of energetic materials and their thermal stability analysis by Zhi-xiang Zhang, Yi-lin Cao, Chao Chen, Lin-yuan Wen, Yi-ding Ma, Bo-zhou Wang, Ying-zhe Liu

    Published 2024-12-01
    “…In this study, machine learning (ML)-assisted regression modeling was conducted to predict the thermal decomposition temperatures and explore the factors that correlate with the thermal stability of energetic materials (EMs). …”
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  13. 9253
  14. 9254
  15. 9255

    Knowledge of the ovulatory cycle and its determinants among women of reproductive age in Papua New Guinea: Insights from a population-based study. by McKenzie Maviso, Gracelyn Potjepat, Elias Namosha, Nancy Geregl, Paula Z Aines, Lisa M Vallely

    Published 2025-01-01
    “…<h4>Methods</h4>Data from the PNG Demographic and Health Survey (DHS) was analyzed. Multivariable logistic regressions were used to determine factors associated with women's knowledge of the ovulatory cycle. …”
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  16. 9256

    Sleep Quality and Its Predictors Among Pregnant Women in Jordan: A Cross-Sectional Study by Alasmer Z, Nazzal MS, Mohamed Z, Al-Jaber A, Ali R, Alshar F, Ababneh EM, Alshdaifat E, Kanaan SF

    Published 2025-05-01
    “…Descriptive statistics were used to analyze sleep quality, and a multivariable linear regression model was used to identify significant predictors of the PSQI total score.Results: 206 pregnant women participated: 23.3% in the second trimester and 73.3% in the third, with a mean age of 30.6 years. 76.6% of pregnant women reported poor sleep quality (PSQI total score &gt; 5). …”
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  17. 9257

    Can We Predict the Surgical Margin Positivity in Patients Treated with Radical Prostatectomy? A Multicenter Cohort of Turkish Association of Uro-Oncology by Deniz Bolat, Saadettin Eskiçorapcı, Erdem Karabulut, Sümer Baltacı, Asıf Yıldırım, Sinan Sözen, Ferhat Ateş, Çağrı Akın Şekerci, Fatih Kurtuluş, Ayhan Dirim, Talha Muezzioğlu, Cavit Can1, Murat Bozlu, Hakan Gemalmaz, Sinan Ekici1, Haluk Özen, Levent Turkeri

    Published 2015-03-01
    “…We assessed the relationship between potential predictive factors and surgical margin status after radical prostatectomy such as age, cancer characteristics, history of transurethral prostate resection, surgical experience and nerve-sparing technique by using univariate and multivariate Cox regression analyses and t test. …”
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  18. 9258

    Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods by Bin Zhang, Shengsheng Huang, Chenxing Zhou, Jichong Zhu, Tianyou Chen, Sitan Feng, Chengqian Huang, Zequn Wang, Shaofeng Wu, Chong Liu, Xinli Zhan

    Published 2024-12-01
    “…The research aims to develop an ML-based nomogram model analyzing clinical and demographic factors to estimate hospital length of stay (LOS). …”
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  19. 9259

    Association between composite dietary antioxidant index and hyperlipidemia in adults based on the NHANES by Kaidi Nie, Tingting Deng, Yiling Bai, Yuxian Zhang, Zhixuan Chen, Xile Peng, Lina Xia, Jiao Liu

    Published 2025-01-01
    “…This study explored the relationship between hyperlipidemia and the Composite Dietary Antioxidant Index (CDAI), which measures antioxidant intake from carotenoids, selenium, zinc, and vitamins A, C, and E. Analyzing data from 27,493 participants aged 20 and older from the National Health and Nutrition Examination Survey (NHANES) conducted between 2001 and 2018, we used weighted regression models to assess this association while adjusting for multiple covariates. …”
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  20. 9260

    Exposure to carcinogenic primary aromatic amines and associated health risks among the Chinese general population: A nationwide biomonitoring study by Yanan Yao, Jingchuan Xue, You Wang, Kurunthachalam Kannan, Tao Zhang

    Published 2025-01-01
    “…Urinary PAA levels significantly varied depending on demographic, geographic, and socioeconomic factors, with higher concentrations observed among smokers, non-adults, and residents from industrialized or ethnically distinct cities. …”
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