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  1. 9681
  2. 9682

    Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society. by Muhammad Tayyab Zamir, Fida Ullah, Rasikh Tariq, Waqas Haider Bangyal, Muhammad Arif, Alexander Gelbukh

    Published 2024-01-01
    “…This research employs machine learning classifiers, namely Support Vector Machine, Logistic Regression, K-Nearest Neighbors, Decision Trees, and Random Forest, to analyze and compare the obtained results. …”
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    Article
  3. 9683

    Prevalence of Preoperative Anxiety and Associated Factors Among Surgical Patients: Systematic Review and Meta-Analysis in Ethiopia by Magarsa Lami, Abraham Negash, Jerman Dereje, Ahmed Hiko, Sinetibeb Mesfin, Arsema Gebreyesus, Nano Belama, Nesredin Ahmed Omer, Bikila Balis, Usmael Jibro

    Published 2025-02-01
    “…STATA version 17 was used for analysis, and the odds ratios of the outcome variable were determined using the random-effects model. Computing values assessed heterogeneity among the studies for I 2 and P -values. …”
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  4. 9684

    Noninvasive oxygenation and ventilation strategies for viral acute respiratory failure: a comprehensive systematic review and meta-analysis by Fredy Leonardo Carreño-Hernández, Sergio Prieto, Daniela Abondando, Jairo Alejandro Gaitán, Yenny Rocío Cárdenas -Bolívar, Adriana Beltrán, Jorge Iván Alvarado-Sánchez, Joseph L. Nates

    Published 2025-02-01
    “…An exploratory meta-analysis was performed by calculating the risk ratio (RR) by random effects and meta-regression to explore possible sources of heterogeneity and to compare ventilatory alternatives against IMV to reduce mortality, length of stay (LOS) days in ICU, nosocomial infection, and barotrauma. …”
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    Article
  5. 9685

    Meta Analysis of Clinical Efficacy of Traditional Chinese Medicine Compounds of Huoxue Yangyin in the Treatment of Vocal Cord Polyp after Surgery by GE Xiaoni, ZHU Ling, SONG Ruohui, TU Yanhong, ZHENG Rixin

    Published 2022-04-01
    “…The patients with vocal cord polyp after surgery in the clinical randomized controlled trials (RCTs) were included who were treated with promoting blood circluation and nourishing Yin drugs. …”
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  6. 9686
  7. 9687
  8. 9688

    Estimating forest aboveground carbon sink based on landsat time series and its response to climate change by Kun Yang, Kai Luo, Jialong Zhang, Bo Qiu, Feiping Wang, Qinglin Xiao, Jun Cao, Yunrun He, Jian Yang

    Published 2025-01-01
    “…In this study, a genetic algorithm (GA) was used to optimize the parameters of random forest (RF) to establish dynamic models to estimate the carbon sink intensity (CSI) of Pinus densata in Shangri-La and analyze the combined effects of multi-climatic factors on CSI. …”
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  9. 9689
  10. 9690

    Preference for HIV testing among community residents in Yunnan Province, China: results from a discrete choice experiment by Jingwen Yang, Chenquan Qiu, Renhai Tang, Wenbin Dong, Enlong Yao, Huyunzhao Wang, Shuwen Lin, Minyang Xiao, Zuyang Zhang, Jin Niu, Liru Fu, Lijun Song, Xuehua Li, Yuhua Shi, Xiaowen Wang

    Published 2025-02-01
    “…The data were analysed using a random parameter logit model. The preference regression coefficient (β) was used to compare the importance of attribute levels. …”
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    Article
  11. 9691

    Effect of Exercise Preconditioning on Protein Expression of VEGF and NeuN in Rats with Cerebral Ischemia-reperfusion by Fei PEI, Xuedong WANG, Baolong LI, Qiang TANG, Luwen ZHU

    Published 2021-02-01
    “…Objective:To explore the effects of exercise preconditioning on the expression of vascular endothelial growth factor (VEGF) and neuronal core antigen (NeuN) proteins in rats with cerebral ischemia-reperfusion.Methods:The rats were randomly divided into sham-operation group, model group, exercise sham-operation group (exercise pretreatment and sham-operation group) and exercise model group (exercise pretreatment and model group) by the random number table method, with 24 rats in each group. …”
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  12. 9692

    Incidence and predictors of adverse birth outcomes among women who gave birth at Assosa general hospital, Northwest Ethiopia: a retrospective cohort study by Habtamu Tadesse Gudeta, Shalama Lekasa Nagari, Dessalegn Emana Jabana, Mustefa Aflegn Legese, Demekisa wondimu Biyena, Fantahun Cheklie Kassie

    Published 2025-01-01
    “…The study participants were selected by using simple random sampling. Bivariate and multivariable logistic regression analyses were executed to identify predictor variables of adverse birth outcomes. …”
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  13. 9693

    Effect of Repetitive Transcranial Magnetic Stimulation Combined with Exercise Therapy on the Motor Function in Stroke Patients with Hemiplegia by Wani ZHOU, Lei ZHANG, Rundong LI, Kaiquan XU, Chengji WU

    Published 2020-06-01
    “…Objective:To discuss the effect of repetitive transcranial magnetic stimulation (rTMS) combined with exercise therapy on the motor function in stroke patients with hemiplegia.Methods:A total of 100 stroke patients with hemiplegia were selected from September 2016 to September 2018, according to the random number table, and they were divided into excitation group and exercise group, with 50 cases in each group. …”
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  14. 9694

    Prevalence of Salmonella and Shigella species and their multidrug resistance patterns among pediatric populations in Ethiopia: a systematic review and meta-analysis by Mihret Tilahun, Melaku Ashagrie Belete, Alemu Gedefie, Habtu Debash, Ermiyas Alemayehu, Daniel Gebretsadik Weldehana, Hussein Ebrahim, Ousman Mohammed, Bruktawit Eshetu, Saba Gebremichael Tekele, Zewudu Mulatie, Agumas Shibabaw

    Published 2025-01-01
    “…The overall pooled prevalence of Salmonella and Shigella species was computed using a random-effects model. Heterogeneity was assessed using the Cochrane Q test and I2 statistics with corresponding p-values. …”
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  15. 9695

    Prediction accuracy of discrete choice experiments in health-related research: a systematic review and meta-analysisResearch in context by Ying Zhang, Thi Quynh Anh Ho, Fern Terris-Prestholt, Matthew Quaife, Esther de Bekker-Grob, Peter Vickerman, Jason J. Ong

    Published 2025-01-01
    “…DCEs conducted under clinical settings and analysed using the heteroskedastic multinomial logit model, incorporating systematic preference heterogeneity and random opt-out utility, had higher specificity than non-clinical settings and alternative models. …”
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  16. 9696

    Water homeostasis gene expression in the kidney of broilers divergently selected for water conversion ratio by Kentu Lassiter, Loujain Aloui, Elizabeth S. Greene, Marciela Maqaeda, Travis Tabler, Sami Dridi, Robert F. Wideman, Jr., Sara Orlowski, Walter G. Bottje

    Published 2025-01-01
    “…In Exp. 2, HWE and modern random bred (MRB) broilers were placed in 12 controlled-environmental chambers (2 floor pens/chamber, 6 chambers/line, 11 birds per pen, 132 birds/line) on day of hatch. …”
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  17. 9697

    Characteristics and contributing factors of adverse drug reactions: an analytical study of patients with tuberculosis receiving treatment under the National TB Program of India [ve... by Jay Patel, Priya Bhavsar, Harsh Shah, Sandul Yasobant, Deepak Saxena, Anish Sinha, Somen Saha, Yogesh Patel

    Published 2024-07-01
    “…A total of 593 reported TB patients were recruited with an adjusted unified distribution based on the type of cases, site of diseases, and service facility through a simple random sampling method. A semi-structured questionnaire tool was used to collect socio-demographic, clinical, and ADR-related data from the TB patients. …”
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  18. 9698
  19. 9699
  20. 9700

    A Machine Learning Model for Predicting Prognosis in HCC Patients With Diabetes After TACE by Wu L, Chen L, Zhang L, Liu Y, Ouyang D, Wu W, Lei Y, Han P, Zhao H, Zheng C

    Published 2025-01-01
    “…Thirteen variables were selected for the model development. The final random survival forest (RSF) model exhibited excellent performance in the internal validation cohort, with areas under the ROC curve (AUCs) of 0.824, 0.853, and 0.810 in the 1-, 2-, and 3-year survival groups, respectively. …”
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