On the development of a systemic (biopsychosocial) prediction model for cardiovascular disease. Part II by O. Yu. Shchelkova, M. V. Iakovleva, D. A. Eremina, R. Yu. Shindrikov, N. E. Kruglova, I. A. Gorbunov, E. A. Demchenko

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Continuous Nonlinear Model Predictive Current Control of PWM AC/DC Rectifier by Imad Merzouk, Noureddine Bessous, Mohamed Mounir Rezaoui, Mohamed Elbar, Khansa Bdirina

“…The present work applies a nonlinear model predictive current control (NLMPCC) approach to ac/dc pulse width modulation (PWM) rectifier. …”
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Prediction of abnormal bone mass with a pericoronary adipose tissue Attenuation model by Yanbo Liang, Xiaoqing Yuan, Qiang Shi, Hui Yang, Luping Zhao, Minghao Che, Yue Chen, Changqin Li, Qi Yang, Jian Qin

“…Abstract Background The aim is to explore the value of pericoronary adipose tissue (PCAT) attenuation in predicting abnormal bone mass by establishing a prediction model. …”
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Deep Learning-Based Daily Streamflow Prediction Model for the Hanjiang River Basin by Jianze Huang, Jialang Chen, Haijun Huang, Xitian Cai

“…In this study, we developed a coupled deep learning model for daily streamflow prediction in the Hanjiang River Basin, China. …”
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An ensemble learning model to predict lymph node metastasis in early gastric cancer by Kaiqing Song, Jiaming Wu, Muchen Xu, Mengying Li, Yuqi Chen, Yi Zhang, Hong Chen, Caifeng Jiang

“…This work aimed to establish a more dependable predictive model for identify lymph node metastasis in early gastric cancer. …”
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Meteorological and satellite-based data for drought prediction using data-driven model by ALI H. AHMED SULIMAN

“… This work presents a data-driven model, the Artificial Neural Network-Multilayer Perceptron Neural Network (ANN-MLP), for use in meteorological drought deciles index (DDI) predictions over various climatic sub-zone. …”
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Predictive Analytics by Using Bayesian Model Averaging for Large-Scale Internet of Things by Xinghui Zhu, Fang Kui, Yongheng Wang

“…This method, which is based on a new multilayered adaptive dynamic Bayesian network model, uses Gaussian mixture models and expectation-maximization inference for basic Bayesian prediction. …”
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Construction of a machine learning-based prediction model for mitral annular calcification by LI Runqian, TAN Yanyi, GE Tiantian, QI Lei, BAI Song, TONG Jiayi

“…Objective To develop a risk prediction model for mitral annular calcification (MAC) using various machine learning algorithms to enable early identification and risk assessment of MAC. …”
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Predictive modelling and identification of critical variables of mortality risk in COVID-19 patients by Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, Jeanine L. Marnewick, Oluwafemi A. Sarumi, Boniface Kabaso, Thomas Moser, Karl Stroetmann, Isaac Fwemba, Fisayo Daramola, Martha Nyirenda, Susan J. van Rensburg, Peter S. Nyasulu

“…It also offers insight into the combined effect of CV, PCA, and SMOTE on the performance of ML models for COVID-19 mortality risk prediction, which has been little explored.…”
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Prediction of Type 2 Diabetes Mellitus using a Logistic Regression Model by Olivia Altamirano Guerrero, Ronelsys Martínez Martínez, Jhonny Alejandro Rodríguez Gutiérrez

“…The statistical procedure was based on the binary logistic regression application. To evaluate the predictive capacity of the model, Cohen's Kappa test was used. …”
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Concrete dam deformation prediction model considering the time delay of monitoring variables by Xin Cao, Jinbao Sheng, Chao Jiang, Dongyang Yuan, Hongrui Zhang

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Research on Default Prediction for Credit Card Users Based on XGBoost-LSTM Model by Jing Gao, Wenjun Sun, Xin Sui

“…The resulting XGBoost-LSTM model showed good classification performance in default prediction. …”
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Economic Evaluation of the Investment in Sensor Equipment Based on Data Valuation in Prediction Model by Jeong-Gi Lee, Deok-Joo Lee

“…Our approach leverages cooperative game theory and integrates explainable AI (XAI) techniques for feature valuation to assess the impact of each sensor within prediction models. We introduce two valuation methods—Marginal Influence Between Models (MIBM) and Marginal Influence Within Models (MIWM)—and provide guidelines on when to apply each method depending on the scenario. …”
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Distributed Model Predictive Formation Control for UAVs and Cooperative Capability Evaluation of Swarm by Ming Yang, Xiaoyi Guan, Mingming Shi, Bin Li, Chen Wei, Ka-Fai Cedric Yiu

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Prediction of Monoclonal Antibody Pharmacokinetics in Pediatric Populations Using PBPK Modeling and Simulation by Chiara Zunino, Virginie Gualano, Haiying Zhou, Viera Lukacova, Maxime Le Merdy

“…<b>Results</b>: Results showed that PBPK models accurately predicted pediatric pharmacokinetics for mAbs. …”
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Cyclic Model and Map for Estimating Predictive Potential of Prognostic-Planning Methodology Development by Yu. I. Busheneva

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A mathematical model to predict the change in direction of the common limb in Z plasty by Sunderraj Ellur, Norman L. Guido

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Study on prediction model and influencing factors of progression-free survival in colorectal cancer by CHEN Jiaying, CHU Yimin, PENG Haixia

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Model for Prediction of Left Ventricular Myocardial Hypertrophy in Patients with Obstructive Sleep Apnea by M. V. Gorbunova, S. L. Babak, V. S. Borovitsky, Zh. K. Naumenko, A. G. Malyavin

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Model Predictive Control of Spatially Distributed Systems with Spatio-Temporal Logic Specifications by Ikkei Komizu, Koichi Kobayashi, Yuh Yamashita

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