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    Modeling to predict cases of hantavirus pulmonary syndrome in Chile. by Elaine O Nsoesie, Sumiko R Mekaru, Naren Ramakrishnan, Madhav V Marathe, John S Brownstein

    Published 2014-04-01
    “…We adopted an information-theoretic approach to model ranking and selection. Data from 2001-2009 were used in fitting and data from January 2010 to December 2012 were used for one-step-ahead predictions.…”
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    Article
  3. 583

    A MACHINE LEARNING DISTRACTED DRIVING PREDICTION MODEL by Samira AHANGARI, Mansoureh JEIHANI, Abdollah DEHZANGI

    Published 2021-07-01
    “…As a result, we achieved a 67.8% prediction accuracy using our model to predict driver distraction. …”
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    Article
  4. 584

    Modeling and Predicting Time Series with Non-stationarity and Volatility by FENG Qiang, ZHAO Jianguang, YANG Rong, NIU Baoning

    Published 2025-05-01
    “…When dealing with volatility, LSTM models with a single-head attention mechanism are usually used, which have weak ability to capture global dependencies and affect prediction accuracy. …”
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    Article
  5. 585

    Study on Noise Prediction Model and Control Schemes for Substation by Chuanmin Chen, Yang Gao, Songtao Liu

    Published 2014-01-01
    “…According to the characteristics of the substation noise and the techniques of noise reduction, a substation’s acoustic field model was established with the SoundPLAN software to predict the scope of substation noise. …”
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    Article
  6. 586

    Economic-mathematical model for predicting financial market dynamics by Artur R. Musin

    Published 2018-09-01
    “…The main study purpose is developing a predictive economic-mathematical model that allows combining both approaches. …”
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    Article
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    Prediction of Frost Occurrences Using Statistical Modeling Approaches by Hyojin Lee, Jong A. Chun, Hyun-Hee Han, Sung Kim

    Published 2016-01-01
    “…We developed the frost prediction models in spring in Korea using logistic regression and decision tree techniques. …”
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    Article
  9. 589

    A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease by K. M. Tawsik Jawad, Anusha Verma, Fathi Amsaad, Lamia Ashraf

    Published 2025-01-01
    “…The goal of this research is to first develop an accurate ensemble model for prediction of unseen cases of CKD given the biomarkers. …”
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  10. 590

    Topological analysis and predictive modeling of amino acid structures with implications for bioinformatics and structural biology by Huili Li, Anisa Naeem, Shamaila Yousaf, Adnan Aslam, Fairouz Tchier, Keneni Abera Tola

    Published 2025-01-01
    “…The findings reveal novel insights into the structural determinants of amino acid properties and present efficient predictive models for various attributes. This research contributes towards better understanding amino acid structures and offers practical applications in bioinformatics, drug design, and structural biology, enhancing the ability to manipulate and comprehend the molecular world.…”
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  11. 591

    Predictive value of ASTRAL score modified by triglyceride glucose index for prognosis in ischemic stroke by PEI Lu-lu, CHAI Yuan, YANG Jun-zhe, YANG Jun-zhe, XU Yu-ming, SONG Bo

    Published 2025-05-01
    “…Conclusions The ASTRAL score modified by the TyG index (ASTRAL‐TyG model) improved the predictive value for poor prognosis in ischemic stroke patients.…”
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    Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models by Mi Jin Noh, Yang Sok Kim

    Published 2025-01-01
    “…As the global diabetes population continues to increase, it is crucial to identify its causes. Therefore, we predicted diabetes using an AI model and quantitatively examined causal relationships using a causal discovery and inference model. …”
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  19. 599

    A graph model for genomic prediction in the context of a linear mixed model framework by Osval A. Montesinos‐López, Gloria Isabel Huerta Prado, José Cricelio Montesinos‐López, Abelardo Montesinos‐López, José Crossa

    Published 2024-12-01
    “…Abstract Genomic selection is revolutionizing both plant and animal breeding, with its practical application depending critically on high prediction accuracy. In this study, we aimed to enhance prediction accuracy by exploring the use of graph models within a linear mixed model framework. …”
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