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

“…<strong><br />Objective:</strong> to design a mathematical model to predict the type 2 diabetes mellitus probability of existence in patients treated at a hospital in Guayaquil, Ecuador. …”
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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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Understanding Software Defect Prediction Through eXplainable Neural Additive Models by Ruiqi He, Yong Li, Chi Sun

Subjects: “…Software defect prediction…”
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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&#x2014;Marginal Influence Between Models (MIBM) and Marginal Influence Within Models (MIWM)&#x2014;and provide guidelines on when to apply each method depending on the scenario. …”
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Harnessing pre-trained models for accurate prediction of protein-ligand binding affinity by Jiashan Li, Xinqi Gong

“…Results Our model demonstrates a significantly higher correlation coefficient in binding affinity predictions. …”
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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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A systematic review and meta-analysis of lung cancer risk prediction models by Ghida Khalife, Matilda Nilsson, Lotta Peltola, Juho Waris, Antti Jekunen, Riikka-Leena Leskelä, Heidi Andersén, Mikko Nuutinen, Eija Heikkilä, Susanna Nurmi-Rantala, Paulus Torkki

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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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The thermal conductivity characteristics and prediction models of limestone sand-yellow soil mixtures by Xiong Liu, Ruiyong Mao, Zujing Zhang, Hongwei Wu, Xing Liang, Jing Chen

“…A backpropagation neural network - based predictive model for thermal conductivity, developed from experimental data, achieved 6.4 % average absolute percentage error, indicating good accuracy.…”
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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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Predictive Modeling of Urban Travel Demand Using Neural Networks and Regression Analysis by Muhammed Ali Çolak, Osman Ünsal Bayrak

“…The results show that the ANN model provided the highest predictive accuracy for household-based data (R² = 0.62), while the linear regression model yielded the best results for dormitory-based data (R² = 0.95). …”
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Developing a suicide risk prediction model for hospitalized adolescents with depression in China by Juan Zhao, Juan Zhao, Ying Li, Yangjie Chen, Ahmad Naqib Shuid

“…However, limited research has focused on suicide prediction models tailored for hospitalized Chinese adolescents with depression. …”
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A monthly runoff prediction model based on ICEEMD-L-SHADE-SRU by Ziyang Kou, Yang Yang, Zhiping Li, Xiaoshuang Fu

“…The runoff prediction model is established by combining the success-history adaptive differential evolution algorithm for linear population size reduction (L-SHADE) and simple recurrent unit (SRU). …”
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