Showing 22,001 - 22,020 results of 23,214 for search '"Prediction', query time: 0.13s Refine Results
  1. 22001

    Both CYP2C19 and PON1 Q192R Genotypes Influence Platelet Response to Clopidogrel by Thrombelastography in Patients with Acute Coronary Syndrome by Wenxing Peng, Xiujin Shi, Xiaoyu Xu, Yang Lin

    Published 2019-01-01
    “…At least one PON1 192R carrier predicted a significantly higher risk of HPR than PON1 192Q carriers (adjusted P=0.021). …”
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    Article
  2. 22002

    Impact of English proficiency on use of Glasgow Coma Scale in geriatric patients with traumatic brain injury by Veronica Layrisse-Landaeta, Gabriela R Dincheva, Shahenda Khedr, Andrew Geng, Michele Schombs, Kazi Maisha, Steven Y Chao, Chun-Cheng Chen

    Published 2024-10-01
    “…Moreover, GCS remained effective for predicting ICH in LEP individuals, highlighting its value with suitable translation resources.Level of evidence This is a Level III evidence restrospective comparative study.…”
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    Article
  3. 22003

    Anemia among Women Attending Antenatal Care at the University of Gondar Comprehensive Specialized Referral Hospital, Northwest Ethiopia, 2017 by Wubet Worku Takele, Amare Tariku, Fasil Wagnew Shiferaw, Amare Demsie, Wondale Getinet Alemu, Degefaye Zelalem Anlay

    Published 2018-01-01
    “…Unprotected water source, large family size, Human Immunodeficiency Virus infection, and repeated pregnancies were factors that predicted anemia. Thus, prevention of Human Immunodeficiency Virus infection, family planning utilization, and accessing pure water are recommended.…”
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    Article
  4. 22004

    Racial and gender disparities in patients undergoing mechanical thrombectomy for large vessel occlusion at a comprehensive stroke center by Olivia Duru, Ryan G. Eaton, Nathan Ritchey, Sharon Heaton, Ciarán J. Powers

    Published 2024-12-01
    “…Following this, a multivariate logistic regression was run to determine predictably of thrombectomy outcomes. RESULTS: Of the 1,143 LVO patients, 567 were male (49.6%), 576 were female, (50.4%), 963 were white (84.3%), and 180 were nonwhite (15.7%). …”
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    Article
  5. 22005

    Mid-term to long-term outcome and risk factors for failure of 158 hips with two-stage revision for periprosthetic hip joint infection by M. Abuelnour, C. McNamee, A. B. Rafi, W. Hohlbein, W. Hohlbein, P. Keogh, J. Cashman

    Published 2025-02-01
    “…Duration of antibiotics and gram-negative infection were the only predictive risk factors for re-infection. <strong>Conclusion</strong>: Our results of the two-stage revision protocol for hip PJI were satisfactory and comparable with the best reported outcomes.…”
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    Article
  6. 22006

    Effect of galectin-3 and brain natriuretic peptide levels on echocardiographic parameters of left heart chamber following coronary artery bypass grafting by Yulia A. Styazhkina, Irina F. Grishina, Nina B. Poletaeva, Tatyana F. Peretolchina, Olga V. Nikolaenko

    Published 2024-12-01
    “…AIM: To assess the diagnostic value of left heart chamber remodeling, non–conventional markers NT-proBNP and galectin-3 in predicting the risk of prolonged recovery in patients with CAD following CABG. …”
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    Article
  7. 22007

    Sistem Deteksi Dini Penyakit Preeklampsia Melalui Perubahan Warna Urine Berdasarkan Protein dengan Menggunakan Metode Naïve Bayes Classifier by Fakhrul Allaam, Barlian Henryranu Prasetio, Rizal Maulana

    Published 2023-08-01
    “…This method is used because it provides easy implementation and fast computation so that real-time predictions can be made. …”
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    Article
  8. 22008

    Global, regional, and national burden of early-onset colorectal cancer from 1990 to 2021: a systematic analysis based on the global burden of disease study 2021 by Yang Meng, Zongbiao Tan, Junhai Zhen, Di Xiao, Liwei Cai, Weiguo Dong, Changzheng Chen

    Published 2025-01-01
    “…In addition, we constructed a Bayesian age-period-cohort model to predict the burden of EOCRC worldwide from 2022 to 2030. …”
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    Article
  9. 22009
  10. 22010

    Deep Learning for Obstructive Sleep Apnea Detection and Severity Assessment: A Multimodal Signals Fusion Multiscale Transformer Model by Zhang Y, Zhou L, Zhu S, Zhou Y, Wang Z, Ma L, Yuan Y, Xie Y, Niu X, Su Y, Liu H, Hei X, Shi Z, Ren X, Shi Y

    Published 2025-01-01
    “…The Bland‒Altman plots revealed the consistency of the true apnea–hypopnea index (AHI) and the predicted AHI. In the public datasets, the per-segment detection Acc values of the Apnea-ECG and UCD datasets were 95.04 and 90.56%, respectively.Conclusion: The experiments on hospital and public datasets have demonstrated that the proposed model is more advanced, accurate, and applicable in OSA detection and severity assessment than previous models.Keywords: obstructive sleep apnea, multimodal signals fusion, deep learning, detection model…”
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    Article
  11. 22011

    Significance of single-nucleotide variants of anorexigenic hormone genes in childhood obesity by A.O. Nikulina

    Published 2024-04-01
    “…Obesity-induced dysregulation of hypothalamic neurons is not completely eliminated by restoring body weight, therefore the most urgent task of modern precision medicine is to predict the trajectory of development of metabolic disorders associated with obesity in children. …”
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    Article
  12. 22012

    Identifikasi Dini Curah Hujan Berpotensi Banjir Menggunakan Algoritma Long Short-Term Memory (Lstm) Dan Isolation Forest by Ahmad Wijayanto, Aris Sugiharto, Rukun Santoso

    Published 2024-07-01
    “…The probability of high rainfall is identified to calculate water infrastructure resilience and set appropriate standards for rainy, flood-prone areas. LSTM predictions are evaluated using Mean Square Error (best 19.11) and Root Mean Square Error (best 4.37) before conducting long-term forecasting. …”
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    Article
  13. 22013

    Gyrfalcon Prey Abundance and Their Habitat Associations in a Changing Arctic by Michaela Gustafson, Jennifer D. McCabe, Brian W. Rolek, Travis L. Booms, Michael T. Henderson, Leah Dunn, David L. Anderson, Jennyffer Cruz

    Published 2025-01-01
    “…Understanding how species' abundances and distributions differ among Arctic habitats is important in predicting future species shifts and trophic‐web consequences. …”
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    Article
  14. 22014

    Identification of novel PfEMP1 variants containing domain cassettes 11, 15 and 8 that mediate the Plasmodium falciparum virulence-associated rosetting phenotype. by Florence E McLean, Brian R Omondi, Nouhoum Diallo, Stanley Otoboh, Carolyne Kifude, Abdirahman I Abdi, Rivka Lim, Thomas D Otto, Ashfaq Ghumra, J Alexandra Rowe

    Published 2025-01-01
    “…Two of these were of the predicted DC11 type (one showing the dual rosetting/IgM-Fc-binding phenotype), whereas two contained DC15 (DBLα1.2-CIDRα1.5b) a PfEMP1 type not previously associated with rosetting. …”
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    Article
  15. 22015

    SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images by K. S. Basavaraju, N. Sravya, Vibha Damodara Kevala, Shilpa Suresh, Shyam Lal

    Published 2024-01-01
    “…Existing deep learning-based methods, particularly those relying on triple-branch architectures, often struggle to accurately localize and predict changes in complex spatial environments characterized by diverse land-cover types. …”
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    Article
  16. 22016

    An Experimental Investigation on the Relationship between MS Frequency Response and Coal and Gas Outburst by Quanjie Zhu, Qingsong Li, Yu Feng, Xianwei Heng, Shaoquan Li, Tao Yang

    Published 2018-01-01
    “…The methodology presented in this paper for CGOB signal analysis provides a new method to obtain MS response precursor and predict CGOB disaster. This approach can be useful for rockburst anticipation and control during mining in gas and highly stressed coal mines.…”
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  17. 22017

    Zingiber striolatum phytochemicals ameliorated hyperglycemia symptoms by modulating gut microbial communities in mice with type 2 diabetes mellitus by Tingting Liu, Xiaodong Ge, Lu Song, Huanhuan Wu, Xue Qian, Bowen Jia, Chao Zhao, Yi Zhuang

    Published 2025-01-01
    “…Additionally, ZSE-H demonstrated superior efficacy over low-dose (ZSE-L) in improving FBG, AUC of OGTT, and other hypoglycemic parameters. Predictive analysis of the correlation between gut microbiota and hypoglycemic parameters identified Dubosiella, Bacillus, and Mailhella as potential microbial biomarkers for further investigation into the pathogenesis of T2DM.ConclusionZSE plays a pivotal role in mitigating hyperglycemia in T2DM mice through the modulation of intestinal microbiota communities.…”
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  18. 22018

    Biofabrication of zinc oxide nanoparticles using Moringa oleifera, characterization and statistical optimization for their application in crystal violet adsorption by Meshayil M. Alsolmi, Noura El-Ahmady El-Naggar, Mashael I. Alqurashi, Ragaa A. Hamouda

    Published 2025-01-01
    “…The maximum percentage value of removal of crystal violet by Mo/ZnO-NPs was 97.26 with optimal conditions of pH 9, incubation time 120 min, Mo/ZnO-NPs 1.4 mg/mL, and crystal violet concentration of 50 ppm. The best-predicted conditions that caused the highest removal of crystal violet (97.8%) were determined using the desirability function as pH 10, incubation time of 140 min, Mo/ZnO-NPs concentrations of 1.3 mg/mL, and a concentration of crystal violet of 80 ppm. …”
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  19. 22019

    The influence of baseline platelet on mortality risk in stroke and cancer patients: a cross-sectional analysis of the NHANES database by Yuqi Pei, Wei Ouyang, Peiyun Qi, Zhongjie Yan, Yaoru Li, Xiangjian Zhang, Cong Zhang, Lili Cui

    Published 2025-01-01
    “…Time-dependent receiver operating characteristic (ROC) analysis was conducted to assess the accuracy of platelet count in predicting mortality. Results Forty-three (43/113, 38.05%) stroke patients with cancer were alive at a median follow-up of 42 months (interquartile range, 23–74 months). …”
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    Article
  20. 22020

    Predictors of self-reported hypertension among women of reproductive age in North Dakota by Corey A. Day, Grace Njau, Matthew Schmidt, Agricola Odoi

    Published 2025-01-01
    “…A multivariable binary logistic regression model was then used to identify significant predictors of hypertension. The predictive ability of the final model was assessed using a Receiver Operating Characteristic (ROC) curve and area under the curve (AUC). …”
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    Article