Forecasting and Comparison of Mechanical Properties of Wooden Structure Models by Darius Albrektas, Ernestas Ivanauskas, Ugne Misiunaite

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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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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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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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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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MODELS AND TOOLS OF PREDICTING ANALYTICAL RESEARCH FOR DIGITAL CORPORATION by Sergey N. Bruskin

“…The article discusses promising approaches to creating a digital corporation by using methods and technologies of predicting analytical research and describes principles of transforming the existing company information systems into digital systems of corporate governance. …”
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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 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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Predicting the Phenology of Herbivorous Insects by Zimo Yang, Elise Woodruff, David Held, Nate B. Hardy

“…Here, with multilevel Bayesian models, we performed a comparative analysis of 601 published herbivorous insect phenology models. …”
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Language Models for Predicting Organic Synthesis Procedures by Mantas Vaškevičius, Jurgita Kapočiūtė-Dzikienė

“…Our findings show that only when the core reactants are used as input, the models learn to correctly predict what ancillary components need to be included in the resulting procedure. …”
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Regression Models for Predicting Physicochemical Properties of Biochar by Chiaw Hui Chiew, Li Yee Lim, Pei Ying Ong, Chunjie Li, Yee Van Fan

“…This study evaluates the effectiveness of various regression models in predicting the physicochemical properties of biochar, essential for sustainable agriculture and environmental remediation. …”
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Predicting the hospitalization burdens of patients with mental disease: a multiple model comparison by Lu Hou, Lu Hou, Jing Zhang, Jing Zhang, Li Li, Yelin Weng, Ziyu Yang, Zhiguo Liu

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Predictive Models of Business Value Management by Kaganovskyi Oleksandr S., Chmutova Iryna M.

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Disease prediction models and operational readiness. by Courtney D Corley, Laura L Pullum, David M Hartley, Corey Benedum, Christine Noonan, Peter M Rabinowitz, Mary J Lancaster

“…These events are characterized by evidence of infection and or disease condition. We reviewed models that attempted to predict a disease event, not merely its transmission dynamics and we considered models involving pathogens of concern as determined by the US National Select Agent Registry (as of June 2011). …”
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Predictive power of nuclear-mass models by Yu. A. Litvinov, A. Sobiczewski, E. A. Cherepanov

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Development of prediction models of severity of leptospirosis by S. O. Mayorova, Yu. V. Lobzin, S. G. Grigoriev, A. A. Yakovlev

“…The possibilities of development and use of multivariate mathematical-statistical models to predict the severity of disease variants at the initial examination the patient’s physician.…”
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Risk prediction models for difficult cholecystectomy by Gan Chen, Min Li, Baoqiang Cao, Qingwen Xu, Zhigong Zhang

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Quick Models for Saccade Amplitude Prediction by Oleg V. Komogortsev, Young Sam Ryu, Do H. Koh

“…This paper presents a new saccade amplitude prediction model. The model is based on a Kalman filter and regression analysis. …”
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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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