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  1. 2001
  2. 2002

    “CVCACS” MODEL FOR PREDICTION OF CARDIOVASCULAR COMPLICATIONS IN HOSPITALIZED PATIENTS WITH ACUTE CORONARY SYNDROME by E. T. Manyukova, M. A. Shalenkova, Z. D. Mikhailova

    Published 2015-03-01
    “…In order to facilitate the prediction values of CVC during ACS hospital period we have proposed a “CVCACS” model that employed the parameters of patient’s age, IL-10 level in the saliva, IL-6, and hs-CRP amounts in blood. …”
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    Article
  3. 2003

    Advanced Trans-BiGRU-QA Fusion Model for Atmospheric Mercury Prediction by Dong-Her Shih, Feng-I. Chung, Ting-Wei Wu, Bo-Hao Wang, Ming-Hung Shih

    Published 2024-11-01
    “…This study proposes a novel advanced model—the Trans-BiGRU-QA hybrid—designed to predict the atmospheric mercury concentration accurately. …”
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    Article
  4. 2004

    Energy Consumption Prediction of Building Heating Systems Based on Model Identification Methods by 曲明璐, 杜尚赫, 张欣林, 于 震, 李 怀

    Published 2025-01-01
    “…Based on historical building data and TRNSYS heating system simulation data, load prediction and equipment energy consumption models were established using the developed model identification method. …”
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    Article
  5. 2005

    Research on the deformation prediction model of surrounding rock based on SSA-VMD-GRU by Xiao Jiming, Guo Hongyan, Guo Huajun, Hu Juyi, Zhang Zhongzhe

    Published 2025-07-01
    “…The results show that the proposed SSA-VMD-GRU model can accurately predict rock deformation, and the prediction accuracy of each displacement component is high, and the error is small. …”
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    Article
  6. 2006

    Performance of deep learning models in predicting the nugent score to diagnose bacterial vaginosis by Naoki Watanabe, Tomohisa Watari, Kenji Akamatsu, Isao Miyatsuka, Yoshihito Otsuka

    Published 2025-01-01
    “…This study aimed to evaluate the performance of deep learning models in predicting the Nugent score to improve diagnostic consistency and accuracy. …”
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    Article
  7. 2007

    Development of a model for mathematical prediction of the course of the disease in patients with nasal furunculosis by D.S. Samusenko, M.M. Popov, O.V. Martynenko

    Published 2025-06-01
    “…Purpose – The aim of the study is to evaluate the factors and develop a linear prediction model for the severity and duration of hospitalization in patients with nasal furunculosis, based on retrospective data analysis. …”
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    Article
  8. 2008

    LLM-Prop: predicting the properties of crystalline materials using large language models by Andre Niyongabo Rubungo, Craig Arnold, Barry P. Rand, Adji Bousso Dieng

    Published 2025-06-01
    “…Current methods for predicting crystal properties focus on modeling crystal structures using graph neural networks (GNNs). …”
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    Article
  9. 2009
  10. 2010

    PREDICTION MODEL FOR FATIGUE CRACK LENGTH UNDER REAL-TIME MEASURED SPECTRUM by ZHANG Chuan, CHEN YanHui

    Published 2020-01-01
    “…Moreover,this model can be applied to predict crack length in corrosion environment.…”
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    Article
  11. 2011

    Providing a Model for Predicting the Financial Behavior of Investors in the Iranian Stock Market by Sallar Ashqi Kareem

    Published 2020-07-01
    “…The purpose of this study is to provide a model for predicting the financial behavior of investors in the Iranian stock market. …”
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    Article
  12. 2012

    Predicting Soft Soil Settlement with a FAGSO-BP Neural Network Model by Binhui Ma, Yarui Xiao, Tian Lan, Chao Zhang, Zengliang Wang, Zeshi Xiang, Yuqi Li, Zijing Zhao

    Published 2025-04-01
    “…The FAGSO-BP neural network forecasting model is used to predict the soft foundation settlement of Hunan Wuyi Expressway Project. …”
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    Article
  13. 2013
  14. 2014

    Development and Validation of a Risk Prediction Model for Foot Ulcers in Diabetic Patients by Jing Lv, Rao Li, Li Yuan, Feng-Mei Huang, Yi Wang, Ting He, Zi-Wei Ye

    Published 2023-01-01
    “…Nomogram and web calculator for the risk prediction model were constructed by R software. Results. …”
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    Article
  15. 2015
  16. 2016

    Model of Gait Control in Parkinson’s Disease and Prediction of Robotic Assistance by Clemence Vandamme, Virginie Otlet, Renaud Ronsse, Frederic Crevecoeur

    Published 2023-01-01
    “…Furthermore, we used this model to predict the potential benefit of an active orthosis on the gait pattern of patients. …”
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    Article
  17. 2017

    Conditional autoregressive model based on next scale prediction for missing data reconstruction by Shuang Wang, Xiangpeng Wang, Yuhan Yang, Peifan Jiang, Bin Wang, Yuanhao Li

    Published 2025-07-01
    “…To address these limitations, we propose a conditional autoregressive model based on next-scale prediction. Starting from the smallest scale, the model incrementally predicts larger-scale data using information from preceding smaller scales, ultimately achieving robust data reconstruction. …”
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    Article
  18. 2018
  19. 2019

    Prediction models used in the progression of chronic kidney disease: A scoping review. by David K E Lim, James H Boyd, Elizabeth Thomas, Aron Chakera, Sawitchaya Tippaya, Ashley Irish, Justin Manuel, Kim Betts, Suzanne Robinson

    Published 2022-01-01
    “…<h4>Objective</h4>To provide a review of prediction models that have been used to measure clinical or pathological progression of chronic kidney disease (CKD).…”
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    Article
  20. 2020