Development of a LASSO machine learning algorithm-based model for postoperative delirium prediction in hepatectomy patients by Yu Zhu, Renrui Liang, Ying Wang, Jian-Jun Yang, Ning Zhou, Cheng-Mao Zhou

“…Subsequently, we utilized R software to develop and validate a nomogram model capable of accurately predicting the incidence of POD. …”
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Providing a Model for Predicting the Financial Behavior of Investors in the Iranian Stock Market by Sallar Ashqi Kareem

“…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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Comparison of traffic flow prediction based on AR model and BP model by Tingting ZHANG, Wuxiong ZHANG, Dong PEI, Cheng ZHAO, Han YU

Subjects: “…VANET;ITS;AR model;BP network model;traffic flow predicting…”
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Forecasting and Comparison of Mechanical Properties of Wooden Structure Models by Darius Albrektas, Ernestas Ivanauskas, Ugne Misiunaite

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Development of an Early-Warning Model for Predicting the Capecitabine-Induced Diarrhea by Liu Z, Qiu S, Xu Y, Wang X, Sun J, Cui L, Ye L, Liang Z, Gao S, Chen W, Wang Z

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Models for predicting juvenile hypertension by Vytautas Janilionis, Edita Janavičiūtė, Jūratė Klumbienė, Giedrė Sakalauskienė

“… Aim of present study was to create some models to predict juvenile hypertension. Data was taken from longitudinal study of Juvenile hypertension in Lithuania. …”
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Evaluation Model Based on the SGCNiFormer for the Influence of Different Storage Environments on Wheat Quality by Qingchuan Zhang, Zexi Song, Mingwen Bi

“…To address these challenges, this paper proposes a dual model system of “prediction-evaluation”, which integrates a dynamic quality prediction model based on SGCNiFormer with an evaluation framework based on K-Smeans clustering to establish a closed-loop mechanism from quality prediction to storage effect evaluation. …”
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Predicting Freeway Pavement Construction Cost Using a Back-Propagation Neural Network: a Case Study in Henan, China by Jie He, Zhiguo Qi, Wen Hang, Chihang Zhao, Mark King

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Clinical Decision Support for Patient Cases with Asymptomatic Carotid Artery Stenosis Using AI Models and Electronic Medical Records by Mackenzie Madison, Xiao Luo, Jackson Silvey, Robert Brenner, Kartik Gannamaneni, Alan P. Sawchuk

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Development of a deep learning-based model for predicting of dominant seepage channels in oil reservoirs by Chen Liu, Zenghua Zhang, Wensheng Zhou, Chengyu Luo, Lei Jiang

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Modeling and Discovering Direct Causes for Predictive Models by Yizuo Chen, Amit Bhatia

“… We introduce a causal modeling framework that captures the input-output behavior of predictive models (e.g., machine learning models). …”
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MODELS AND TOOLS OF PREDICTING ANALYTICAL RESEARCH FOR DIGITAL CORPORATION by Sergey N. Bruskin

“…The author puts forward a new information model of digital corporation, which in contrast to the present day analogues provides support to operational managerial decision-making in real time. …”
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Control of Electric Drive with Predicting Model by N. N. Micheev, E. P. Ratkevich

“…The proposed predicting model permits to exclude immediate rapid time calculations of a control value.…”
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Predicting Financial Market Volatility with Modern Model and Traditional Model by R. G. Aldeki

“…There is evidence that the GARCH-SVR model performs best for predicting volatility time series, and classical volatility model techniques have an enormous predictive performance better than machine learning models.…”
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Melanoma risk prediction models by Nikolić Jelena, Lončar-Turukalo Tatjana, Sladojević Srđan, Marinković Marija, Janjić Zlata

“…The aim of this study was to identify most significant factors for melanoma prediction in our population and to create prognostic models for identification and differentiation of individuals at risk. …”
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Explainable Model Prediction of Memristor by Sruthi Pallathuvalappil, Rahul Kottappuzhackal, Alex James

“…The accurate memristor model prediction becomes critical to decipher the overall circuit function in a wide range of nonideal and practical conditions. …”
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Atmospheric Modeling for Wildfire Prediction by Fathima Nuzla Ismail, Brendon J. Woodford, Sherlock A. Licorish

Subjects: “…one-class machine learning models…”
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Prediction Model for Soybean Productivity by Ion GANEA

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Modelling complexity : The limits to prediction by Michael Batty, Paul M. Torrens

“…We develop these, introducing changes in the meaning of validity posed by the use to which such models are to be put in terms of their users. We draw these ideas together as conclusions about the limits posed to prediction in complex systems. …”
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An epidemiological model of monkeypox: model prediction and control application by Min Qian, Danyang Li, Zihan Hao, Shujuan Hu, Weide Li

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