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Showing 1 - 20 results of 230 for search '(( significant ((larger decrease) OR (largest decrease)) ) OR ( significant predictive factors ))', query time: 0.11s Refine Results
  1. 1

    The predictors of perforated appendicitis in the pediatric emergency department: A retrospective observational cohort study by Zlatan, Zvizdic

    Published 2021
    “…The present study aimed to identify possible predictive factors associated with perforated appendicitis (PA) in children at admission in the emergency department (ED). …”
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    Factors Influencing the Adoption and Implementation of Predictive Maintenance Technologies in Organizations by Alnashwan, Mohammed

    Published 2023
    “…Significant research has explored the numerous advantages of predictive maintenance technologies. …”
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    The predictors of perforated appendicitis in the pediatric emergency department: A retrospective observational cohort study by Zlatan Zvizdic (9212371)

    Published 2021
    “…The present study aimed to identify possible predictive factors associated with perforated appendicitis (PA) in children at admission in the emergency department (ED).…”
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    The information content of US stock market factors by Mohammed M. Elgammal (17316970)

    Published 2020
    “…</p><h3>Design/methodology/approach </h3><p dir="ltr">Using US stock portfolios from 1964 to 2019, the authors undertake three related exercises: whether a set of common factors contain independent predictive ability for stock returns, what economic and market variables explain movements in the factors and whether stock market factors have predictive power for future output growth. …”
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    Duration of symptoms is the only predictor of testicular salvage following testicular torsion in children: A case-control study by Zlatan Zvizdic (9212371)

    Published 2021
    “…The present study aimed to identify potential factors that may be predict a testicular salvage after TT in pediatric patients.…”
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    Combining and adapting software quality predictive models by genetic algorithms by Azar, D.

    Published 2017
    “…The goal of quality models is to predict a quality factor starting from a set of direct measures. …”
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    Clinical and Prognostic Implications of Plasma Insulin-Like Growth Factor-1 and Vascular Endothelial Growth Factor in Patients With Hepatocellular Carcinoma by Kaseb, Ahmed O.

    Published 2011
    “…Patients and Methods We prospectively collected plasma samples and baseline clinicopathologic features from 288 new patients with HCC, and plasma insulin-like growth factor-1 (IGF-1) and vascular endothelial growth factor (VEGF) levels were tested. …”
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    Prevalence, risk factors, and predictors of pelvic organ prolapse by Deeb, Mary E.

    Published 2012
    “…Increasing age, increasing vaginal parity, and a body mass index higher than 24 kg/m2 were found to be significant risk factors for POP, with relative risks of 1.09 (P < 0.001), 2.31 (P < 0.0001), and 1.62 (P = 0.048) respectively. …”
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    Tumor size predicts vascular invasion and histologic grade by Abdalla, Eddie

    Published 2005
    “…Both size and number of tumors were important factors predicting vascular invasion. Among all patients with tumors 5.1 to 6.5 cm, microscopic vascular invasion was present in 55% compared with 31% for all patients with tumors 5 cm or smaller (P < 0.001). …”
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    The Influence of Cost Incurred on the Critical Success Factors of SMRs in the UAE by AL TENEIJI, SAIF MOHAMMED

    Published 2018
    “…Subsequently, multiple regression was carried out and the regression was significant thereby a predictive model of the relationship between the cost incurred and the success factors was developed.…”
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    Advanced Techniques for Predicting the Future Progression of Type 2 Diabetes by Md. Shafiqul Islam (8988548)

    Published 2020
    “…Moreover, finding discriminative features or risk-factors responsible for the future development of diabetes plays a significant role. …”
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    Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach by Abujaber, Ahmad A.

    Published 2025
    “…BackgroundStroke-associated Hospital Acquired Pneumonia (HAP) significantly impacts patient outcomes. This study explores the utility of machine learning models in predicting HAP in stroke patients, leveraging national registry data and SHapley Additive exPlanations (SHAP) analysis to identify key predictive factors. …”
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