Search alternatives:
variable » variables (Expand Search)
Showing 4,821 - 4,840 results of 6,457 for search 'variable value aiming', query time: 0.21s Refine Results
  1. 4821

    Effect of Oral Clonidine Premedication on Induction Dose of Propofol and Perioperative Haemodynamic Parameters in Patients Undergoing Laparoscopic Cholecystectomy: A Double-blinded... by Dheer Singh, Rakesh Bahadur Singh, Matendra Singh Yadav, Amit Kumar Singh, Purva Kumrawat, Chandra Bhushan Yadav

    Published 2025-06-01
    “…Haemodynamic parameters and the propofol induction dose of the three groups were compared using an unpaired t-test and one-way Analysis of Variance (ANOVA); a p-value of <0.05 was considered statistically significant. …”
    Get full text
    Article
  2. 4822

    Food consumption patterns and score among women receiving cash assistance: emergency nutrition response in drought affected pastoralist community eastern Ethiopia by Aboma Motuma, Mohammed Jemal Dawe, Assefa Tola Gemada, Temam Beshir, Behailu Hawulte, Hamdi Fekredin Zakaria, Kedir Teji Roba

    Published 2025-05-01
    “…The study used ordinal logistic regression to identify factors influencing the food consumption score. Variables with p-value < 0.25 in bivariable analysis were considered for multivariable analysis, and 95% confidence interval was used to measure the strengths of association at p-values < 0.05. …”
    Get full text
    Article
  3. 4823

    Knowledge, Attitude, and Practice towards Labor Pain Management and Associated Factors among Skilled Birth Attendants Working at Hospitals Found in Central, West, and North Gondar... by Eyasu Tekile Solomon, Fisseha Yetwale Kassie, Dawit Gebeyehu Mekonnen, Muhabaw Shumye Mihret, Addisu Taye Abate, Amanuel Addisu Dessie

    Published 2021-01-01
    “…Multivariable logistic regression analyses were undertaken to identify factors associated with outcome variables. The level of significance of the study was declared based on adjusted odds ratio with 95% confidence interval at a p value of ≤0.05. …”
    Get full text
    Article
  4. 4824

    eGFR slope as predictor of mortality in heart failure patients by Sofie Verstreken, Monika Beles, Clara L. Oeste, Ana Moya, Imke Masuy, Riet Dierckx, Ward Heggermont, Jeroen Dauw, Dries Hens, Jozef Bartunek, Marc Vanderheyden

    Published 2025-04-01
    “…Abstract Aims Heart failure (HF) leads to an imbalance between heart and kidney function, resulting in poor outcomes. …”
    Get full text
    Article
  5. 4825

    Determinants of non-testing for HIV among women during antenatal care follow up in sub-saharan Africa: a hierarchical analysis of recent Demographic and Health Survey datasets by Tadesse Tarik Tamir, Alebachew Ferede Zegeye, Enyew Getaneh Mekonen, Bikis Liyew, Belayneh Shetie Workneh

    Published 2024-12-01
    “…The adjusted odds ratios with 95% confidence intervals were calculated to determine the associations between the outcome and explanatory variables. Statistical significance was determined using a p-value of less than 0.05. …”
    Get full text
    Article
  6. 4826

    Adverse maternal outcomes among women who gave birth at public hospitals in eastern Ethiopia: a cross-sectional study by Masresha Leta, Abera Kenay Tura, Abera Kenay Tura, Abera Kenay Tura, Haymanot Mezmur, Kasiye Shiferaw, Nega Assefa

    Published 2025-03-01
    “…Adjusted relative risk (ARR) with a 95% confidence interval (CI) was used to report the strength of the association. The variables with a p-value of &lt;0.05 were considered statistically significant.ResultsThe magnitude of adverse maternal outcomes was 15.68% (95% CI: 14.70%–16.66%). …”
    Get full text
    Article
  7. 4827

    Early prediction of sepsis associated encephalopathy in elderly ICU patients using machine learning models: a retrospective study based on the MIMIC-IV database by Yupeng Han, Xiyuan Xie, Jiapeng Qiu, Yijie Tang, Zhiwei Song, Wangyu Li, Xiaodan Wu, Xiaodan Wu

    Published 2025-04-01
    “…A total of 18 feature variables were selected for the construction of the ML model using the LASSO-Boruta combined algorithm. …”
    Get full text
    Article
  8. 4828

    Carcass and Meat Quality Characteristics and Changes of Lean and Fat Pigs After the Growth Turning Point by Tianci Liao, Mailin Gan, Yan Zhu, Yuhang Lei, Yiting Yang, Qianli Zheng, Lili Niu, Ye Zhao, Lei Chen, Yuanyuan Wu, Lixin Zhou, Jia Xue, Xiaofeng Zhou, Yan Wang, Linyuan Shen, Li Zhu

    Published 2025-08-01
    “…After the growth inflection point, carcass traits exhibited greater variability than meat quality traits in both breeds, though with distinct patterns. …”
    Get full text
    Article
  9. 4829

    Hospital-related healthcare expenditure of impending versus completed pathological femur fractures: a propensity score matched study of 265 patients by Tom M de Groot, Michelle R Shimizu, David Shin, Olivier Q Groot, Stein J Janssen, Kevin A Raskin, Eric T Newman, Marco L Ferrone, Santiago A Lozano-Calderon, Joseph H Schwab, Paul C Jutte

    Published 2025-05-01
    “…We aimed to evaluate whether prophylactic treatment of an impending femur fracture was associated with lower healthcare costs compared with completed pathologic fractures. …”
    Get full text
    Article
  10. 4830

    Modeling human capital strategies with an emphasis on organizational structure change by Shahriyar Emamdoust Haredasht, Musa Rezvani Chaman Zamin, Morteza Hazrati

    Published 2025-03-01
    “…Training is an intentional intervention aimed at improving variables affecting individual task performance. …”
    Get full text
    Article
  11. 4831

    Association between phenotypic age and in-hospital outcomes in patients with acute myocardial infarction: A retrospective observational study by Yajie Gao, Ke Gao, Ruijuan Shi, Xiaorui Huang, Peizhu Dang, Hui Liu, Xiaopu Zheng, Yanbo Xue

    Published 2025-06-01
    “…Re-examination of the ROC curves using different combinations of variables, PhenoAge was also able to significantly improve the predictive value of several models. …”
    Get full text
    Article
  12. 4832

    High Hidden Burden of Diabetes Mellitus among Adults Aged 18 Years and Above in Urban Northwest Ethiopia by Haileab Fekadu Wolde, Terefe Derso, Gashaw Andargie Biks, Mezgebu Yitayal, Tadesse Awoke Ayele, Kassahun Alemu Gelaye, Getu Debalkie Demissie, Telake Azale, Bisrat Misganaw, Adane Kebede, Destaw Fetene Teshome, Endalkachew Dellie, Tsegaye Gebremedhin, Asmamaw Atnafu

    Published 2020-01-01
    “…Binary logistic regression model was fitted, variables with p value < 0.05 were considered to have a significant association with the outcome, and odds ratio (OR) was used to measure the strength of association. …”
    Get full text
    Article
  13. 4833
  14. 4834
  15. 4835

    Machine learning-based real-time prediction of duodenal stump leakage from gastrectomy in gastric cancer patients by Jae Hun Chung, Jae Hun Chung, Jae Hun Chung, Yushin Kim, Dongjun Lee, Dongwon Lim, Dongwon Lim, Dongwon Lim, Sun-Hwi Hwang, Sun-Hwi Hwang, Sun-Hwi Hwang, Si-Hak Lee, Si-Hak Lee, Si-Hak Lee, Woohwan Jung

    Published 2025-05-01
    “…PurposeThis study aimed to develop a machine learning (ML) model for real-time prediction of duodenal stump leakage (DSL) following gastrectomy in patients with gastric cancer (GC) using a comprehensive set of clinical variables to improve postoperative outcomes and monitoring efficiency.MethodsA retrospective analysis was conducted on 1,107 patients with GC who underwent gastrectomy at Pusan National University Yangsan Hospital between 2019 and 2022. …”
    Get full text
    Article
  16. 4836
  17. 4837

    Prediction model and scoring system for in-hospital mortality risk in infants with heart failure aged 1–36 months: A retrospective case-control study by Meng Wei, Shuai Shang, Huasheng Lv, Xiaoyan Liang, Yanmei Lu, Baopeng Tang

    Published 2025-02-01
    “…Results: Using the Lasso regression method, this study selected the best 14 variables from 88 independent variables of infants and toddlers with heart failure. …”
    Get full text
    Article
  18. 4838

    Hip fractures in Chinese TikTok (Douyin) short videos: an analysis of information quality, content and user comment attitudes by Zhuoxin Li, Zhuoxin Li, Yashi Lin, Yashi Lin, Kairou Zhang, Kairou Zhang, Ran Li, Ran Li, Mei Ju, Yanhua Chen, Jing Fu, Ruiyu Huang, Ling Zhu, Junjun Sun, Yanxia Guo, Min Gao, Yue Hu, Gang Liu, Baolu Zhang

    Published 2025-04-01
    “…Data analysis was performed using IBM SPSS version 29.0, including non-parametric tests for continuous variables and chi-square tests for categorical variables. …”
    Get full text
    Article
  19. 4839

    HUBUNGAN ANTARA KOMUNIKASI INTERPERSONAL ORANG TUA DAN ANAK DENGAN RESILIENSI ONLINE ANAK SMP DI KOTA YOGYAKARTA by Abidatu Lintang Pradipta, Pratiwi Wahyu Widiarti

    Published 2022-10-01
    “…The results showed: (1) There is a significant relationship between the interpersonal communication of parents and children with online resilience of junior high school children in Yogyakarta City with a correlation coefficient of 0.485 and a significance value of 0.000; (2) The relationship between interpersonal communication variables and online resilience of junior high school students in Yogyakarta has a positive direction; (3) Interpersonal communication between parents and junior high school children in Yogyakarta City is in the very high category with 49 child respondents (49%); (4) The majority of online resilience of junior high school children in Yogyakarta City is in the high category with 59 child respondents (59%); (5) Parent and child interpersonal communication variables have an influence level of 23,5% on the online resilience of junior high school children in Yogyakarta City. …”
    Get full text
    Article
  20. 4840

    COMPARISON BETWEEN MANUAL AND AUTOMATIC SEGMENTATION OF THE WHOLE-BRAIN AND CEREBELLUM by Marcos Paulo Dias de Sá e Silva, Maria Emília Seren TAKAHASHI, Tiago Pessolo Dos Santos, Carmino Antonio De Souza, Celso Darío Ramos

    Published 2025-05-01
    “…Conclusion: The choice of segmentation method significantly impacts SUV values. AS yielded higher brain SUVs, while cerebellum MS showed greater variability due to manual adjustments and VOI selection. …”
    Get full text
    Article