Showing 9,341 - 9,360 results of 17,304 for search '"random"', query time: 0.10s Refine Results
  1. 9341

    Extended-spectrum β-lactamase production and antimicrobial resistance among Enterobacteriaceae causing clinical infections in Africa: a systematic review and meta-analysis (2012–20... by Getahun Kahsay Abay, Mebrahtu Teweldemedhin Shfare, Teklay Gebrecherkos Teklu, Kibriti Mehari Kidane, Tsega Kahsay Gebremeskel, Atsebaha Gebrekidan Kahsay, Kebede Embaye Gezae, Saravanan Muthupandian, Tsehaye Asmelash Degene

    Published 2025-01-01
    “…The prevalence and 95% confidence intervals (CI) for ESBL-PE in Africa were evaluated using a random-effects model of a meta-analysis. As a visual and statistical way assessment, the funnel plot and Egger's test were utilized to assess the risk of bias or publication bias, with a statistically significant level of bias being determined at p < 0.05. …”
    Get full text
    Article
  2. 9342

    Effectiveness and safety of percutaneous endoscopic debridement and drainage for spinal infections: a systematic review and meta-analysis by Guozhong Zhou, Xiaorong Liu, Zhi Liang, Xuesong Chen, Chao Song

    Published 2025-02-01
    “…We assessed study quality using a modified Newcastle–Ottawa Scale and conducted a random-effects meta-analysis to calculate pooled results. …”
    Get full text
    Article
  3. 9343

    Health literacy status and associated factors among residents in Anhui Province, China: a cross-sectional study by Yuansheng Fu, Jianrong Xie, De Xu, Yuanrui Xia, Zhimin Wang, Yinguang Fan

    Published 2025-01-01
    “…Participants were selected using a multi-stage stratified random sampling method. HL was measured using the Chinese Citizen Health Literacy Questionnaire. …”
    Get full text
    Article
  4. 9344

    Cardiac computer tomography-derived radiomics in assessing myocardial characteristics at the connection between the left atrial appendage and the left atrium in atrial fibrillation... by Xiao-Xuan Wei, Cai-Ying Li, Hai-Qing Yang, Peng Song, Bai-Lin Wu, Fang-Hua Zhu, Jing Hu, Xiao-Yu Xu, Xin Tian

    Published 2025-01-01
    “…The radiomics model was built by extracting radiomic features of the myocardial tissue using Pyradiomics, and employing Least absolute shrinkage and selection operator (LASSO) method for feature selection, combining random forest with support vector machine (SVM) classifier.ResultsThere were 82 cases in the AF group [44 males, 65.00 (59, 70)], and 56 cases in the control group (21 males, 61.09 ± 7.18). …”
    Get full text
    Article
  5. 9345

    A Novel CGM Metric-Gradient and Combining Mean Sensor Glucose Enable to Improve the Prediction of Nocturnal Hypoglycemic Events in Patients with Diabetes by Jingzhen Li, Xiaojing Ma, Igbe Tobore, Yuhang Liu, Abhishek Kandwal, Lei Wang, Jingyi Lu, Wei Lu, Yuqian Bao, Jian Zhou, Zedong Nie

    Published 2020-01-01
    “…In addition, the prediction was conducted by four algorithms, namely, logistic regression, support vector machine, random forest, and long short-term memory. The results revealed that the gradient of CGM showed a downward trend before hypoglycemic events happened. …”
    Get full text
    Article
  6. 9346

    Zonation system in admission of new student at state secondary school in Indonesia: how predictable to learning success by B. Bulkani, M. Fatchurahman, M. A. Setiawan

    Published 2023-10-01
    “…The sampling technique for this study used proportional random sampling. Determining the size of the research sample was done by considering the pathways for accepting new students: the zoning path, the achievement path, the affirmation path, and the parent transfer path. …”
    Get full text
    Article
  7. 9347

    Individual mobility prediction by considering current traveling features and historical activity chain by Xiaotong Zhang, Zhipeng Gui, Yuhang Liu, Dehua Peng, Qianxi Lan, Zhangxiao Shen, Huan Chen, Yuhui Zuo, Yao Yao, Huayi Wu, Kai Li, Kun Qin

    Published 2025-01-01
    “…It outperforms four baselines, Random Forest (RF), Distant Neighboring Dependencies (DND), Location Semantics and Location Importance (LSI)-LSTM, as well as Intersection Transfer Preference and Current Movement Mode (ITP-CMM), by approximately 10%-15% improvement in accuracy. …”
    Get full text
    Article
  8. 9348

    Diagnostic features, management and prognosis of type 2 myocardial infarction compared to type 1 myocardial infarction: a systematic review and meta-analysis by Kyle White, Ian Scott, Mansey Kinarivala

    Published 2022-02-01
    “…Importance Distinguishing type 2 (T2MI) from type 1 myocardial infarction (T1MI) in clinical practice can be difficult, and the management and prognosis for T2MI remain uncertain.Objective To compare precipitating factors, risk factors, investigations, management and outcomes for T2MI and T1MI.Data sources Medline and Embase databases as well as reference list of recent articles were searched January 2009 to December 2020 for term ‘type 2 myocardial infarction’.Study selection Studies were included if they used a universal definition of MI and reported quantitative data on at least one variable of interest.Data extraction and synthesis Data were pooled using random-effect meta-analysis. Risk of bias was assessed using Newcastle-Ottawa quality assessment tool. …”
    Get full text
    Article
  9. 9349

    Adaptive coping mechanisms use and associated factors among adult glaucoma patients attending the University of Gondar Comprehensive Specialized Hospital, Tertiary Eye Care and Tra... by Bisrat Misganaw Geremew, Biruk Fanta Alemayehu, Getenet Shumet Birhan, Biruk Lelisa Eticha, Mahtot Leykun Sisay, Woretaw Endalew Melese, Abebe Tilahun Mekonenne

    Published 2025-01-01
    “…This study aimed to assess the proportion of ACM and associated factors among adult glaucoma patients enrolled at the tertiary eye care and training centre in Northwest Ethiopia.Design An institution-based cross-sectional study.Setting This study was conducted at a tertiary eye care and training centre in Northwest Ethiopia from 15 May 2022 to 30 June 2022.Participants The study included a sample of 398 adult glaucoma patients selected using a systematic random sampling technique.Primary and secondary outcome measures The participants were diagnosed with glaucoma by ophthalmologists. …”
    Get full text
    Article
  10. 9350

    Effect of Liuzijue on Pulmonary Function of Patients with Ischemic Stroke and Hemiplegia by CHEN Yannan, ZHANG Hongxin, DENG Lijin, WENG Meihua, HU Jingwen, ZHOU Hongjuan, YOU Shijing, CHEN Jinxiu

    Published 2022-10-01
    “…The patients were divided into control group (<italic>n</italic>=38) and experimental group (<italic>n</italic>=38) using a random number table method and according to the order of admission. …”
    Get full text
    Article
  11. 9351

    Delays in health care seeking for diarrheal disease and associated factors among caregivers of under five children in health centers of northwest Ethiopia: a mixed-method study by Asnakech Marew, Zenebe Jebero Zaza, Shiferaw Birhanu, Amare Belachew, Tsehaynew Kasse

    Published 2025-01-01
    “…Quantitative data were collected from 374 participants who were selected by systematic random sampling using a structured interviewer-administered questionnaire and chart review. …”
    Get full text
    Article
  12. 9352

    Enhanced preoperative prediction of breast lesion pathology, prognostic biomarkers, and molecular subtypes using multiple models diffusion-weighted MR imaging by Litong He, Feng Li, Yanjin Qin, Yuling Li, Qilan Hu, Zhiqiang Liu, Yunfei Zhang, Tao Ai

    Published 2025-02-01
    “…Abstract This study aims to comprehensively evaluate the clinical utility of five diffusion models, including conventional mono-exponential (Mono), intravoxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI), stretched exponential (SEM), and continuous-time random-walk (CTRW), for preoperatively predicting of breast lesion pathology, prognostic biomarkers, and molecular subtypes. …”
    Get full text
    Article
  13. 9353

    Using the CIPP Model to elicit perceptions of health professions faculty and students about virtual learning by Sakineh Gerayllo, Mohammadali Vakili, Leila Jouybari, Zahra Moghadam, Ali Jafari, Alireza Heidari

    Published 2025-02-01
    “…Methodology The participants in this cross-sectional study were 522 students and 38 members of the faculty in six different faculties who were selected via stratified random sampling. The research tool was a validated and reliable researcher-made questionnaire developed based on the context, input, process, and product (CIPP) evaluation model. …”
    Get full text
    Article
  14. 9354

    Growth Performance, Serum Biochemical Profile, Oxidative Status, and Fertility Traits in Male Japanese Quail Fed on Ginger (Zingiber officinale, Roscoe) Essential Oil by Tchoffo Herve, Kana Jean Raphaël, Ngoula Ferdinand, Folack Tiwa Laurine Vitrice, Adoum Gaye, Moussa Mahamat Outman, Ngouozeu Moyo Willy Marvel

    Published 2018-01-01
    “…This study was designed to evaluate the effect of ginger (Zingiber officinale, Rosc.) essential oil on growth performance, serum biochemical profile, oxidative stress, and histological structure of testes and fertility traits in Japanese quail (Coturnix coturnix japonica). 96 three-week-old male Japanese quail weighing between 120 and 130 g were randomly assigned to 4 dietary treatment groups in a completely randomized design. …”
    Get full text
    Article
  15. 9355

    Improving antibiotic utilization in West Africa: enhancing interventions through systematic review and evidence synthesis by Eric S. Donkor, Abdul-Halim Osman, Bill Clinton Aglomasa, Aaron Awere-Duodu, Alex Odoom, Bismark Opoku-Asare, Gilbert Lazarus

    Published 2025-02-01
    “…Data were extracted from eligible papers for all the five domains under consideration and random-effects model meta-analysis was carried out for antibiotic consumption. …”
    Get full text
    Article
  16. 9356

    Exploring the Impact of Homophily Attitude, Physical, and Social Attractiveness on Purchase Intentions by Honya Ghasemi, Ramin Bashir Khodaparasti, Hooshmand Bagheri Garbollagh

    Published 2024-03-01
    “…According to the size of the population, and based on the random cluster sampling method, 384 people were selected as the sample. …”
    Get full text
    Article
  17. 9357
  18. 9358

    Exploring the Prevalence and Components of Metabolic Syndrome in Sub-Saharan African Type 2 Diabetes Mellitus Patients: A Systematic Review and Meta-Analysis by Nelson Musilanga, Hussein Nasib, Given Jackson, Frank Shayo, Clarkson Nhanga, Saleh Girukwigomba, Ambokile Mwakibolwa, Samson Henry, Keneth Kijusya, Edgar Msonge

    Published 2024-01-01
    “…Searches were carried out in PubMed, Embase, Scopus, Google Scholar, African Index Medicus, and African Journal Online from their inception until July 31, 2023. A random-effects model was employed to estimate the weighted pooled prevalence of metabolic syndrome in sub-Saharan Africa. …”
    Get full text
    Article
  19. 9359

    Assessing the Impact of Distance Traveled and Birth Volumes of Hospital Maternity Units on Newborn Outcomes: Population-Based Cohort Study by Anna Cantarutti, Riccardo Boracchini, Roberto Bellù, Raffaella Ronco, Federico Rea, Anna Locatelli, Rinaldo Zanini, Giovanni Corrao

    Published 2025-01-01
    “…Given the hierarchical structure of our data (births nested within hospitals), we employed log-binomial regression models with random intercepts to estimate relative risks and 95% CIs for evaluating the association between HMU volumes (≥1500 births/year) and RTD (<5 km) with the risk of being transferred and/or death after birth (primary outcome). …”
    Get full text
    Article
  20. 9360

    The association of origin and environmental conditions with performance in professional IRONMAN triathletes by Beat Knechtle, Mabliny Thuany, David Valero, Elias Villiger, Pantelis T. Nikolaidis, Marilia S. Andrade, Ivan Cuk, Thomas Rosemann, Katja Weiss

    Published 2025-01-01
    “…Three different ML models were built and evaluated, based on three algorithms, in order of growing complexity and predictive power: Decision Tree Regressor, Random Forest Regressor, and XG Boost Regressor. Most of the athletes originated from the USA (1786), followed by athletes from Germany (674), Canada (426), Australia (396), United Kingdom (342), France (325), and Switzerland (276). …”
    Get full text
    Article