Comparison of the performance of random forest and decision tree models in predicting the risk of poor prognosis in diabetic foot patients by PENG Ying, ZHENG Hailan, QI Mingxia, JIANG Lan

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Modelling urban future: integrating CA-ANN model for comprehensive understanding of land use, land cover changes, and temperature dynamics in Lucknow City, India by Danish Khan, Nizamuddin Khan

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The contributions of brain structural and functional variance in predicting age, sex and treatment by Ning-Xuan Chen, Gui Fu, Xiao Chen, Le Li, Michael P. Milham, Su Lui, Chao-Gan Yan

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Prediction model of in-hospital mortality risk in intensive care unit patients with cardiac arrest: a multicenter retrospective cohort study based on an ensemble model by Li Liu, Wei-Wei Lai, Bo-Wen Li, Shu-Hang Wang, Mu-Ming Yu, Yan-Cun Liu, Yan-Fen Chai

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Movement pattern of an ellipsoidal nanoparticle confined between solid surfaces: Theoretical model and molecular dynamics simulation by Junqin Shi, Xiangzheng Zhu, Kun Sun, Liang Fang

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Bankruptcy Prediction, Financial Distress and Corporate Life Cycle: Case Study of Central European Enterprises by Lucia Michalkova, Olga Ponisciakova

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Explainable machine learning and online calculators to predict heart failure mortality in intensive care units by An‐Tian Chen, Yuhui Zhang, Jian Zhang

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A machine learning framework for predicting healthcare utilization and risk factors by Yead Rahman, Prerna Dua

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Improved National‐Scale Above‐Normal Flow Prediction for Gauged and Ungauged Basins Using a Spatio‐Temporal Hierarchical Model by Shiqi Fang, J. Michael Johnson, Lilit Yeghiazarian, A. Sankarasubramanian

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A GNN-Based QSPR Model for Surfactant Properties by Seokgyun Ham, Xin Wang, Hongwei Zhang, Brian Lattimer, Rui Qiao

“…However, the relationship between surfactant structure and these properties is complex and difficult to predict theoretically. Here, we develop a graph neural network (GNN)-based quantitative structure–property relationship (QSPR) model to predict the CMC, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>γ</mi></mrow><mrow><mi>c</mi><mi>m</mi><mi>c</mi></mrow></msub></mrow></semantics></math></inline-formula>, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>Γ</mi></mrow><mrow><mi>m</mi><mi>a</mi><mi>x</mi></mrow></msub></mrow></semantics></math></inline-formula>. …”
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Exploring interactions between shading and view using visual difference prediction by Stephen Wasilewski, Marilyne Andersen

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Average Speed Enforcement System Efficiency Assessment Model by Laura Jateikienė, Audrius Vaitkus

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Distributed Predictive Control of the Two-Stage Power Converter From the Battery to the Motor Considering the DC-Voltage Prediction by Reza Zolfagharian, S. Alireza Davari, Freddy Flores-Bahamonde, Jose Rodriguez

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Age of machine learning: new trends in autism spectrum disorder prediction by Weihong Xu, Haibei Li, Junwen Li, Min Jin

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Risk assessment and early prediction of intraventricular hemorrhage in extremely preterm infants by Yueju Cai, Xiaolan Li, Xiaopeng Zhao, Yanyan Song, Wei Zhou

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Gut microbiota as a predictive tool for outcomes in IgA nephropathy by Yijun Dong, Ge Yan, Yiding Zhang, Yukun Zhou, Jin Shang

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Intelligent Damage Prediction During Vehicle Collisions Based on Simulation Datasets by Sheng Liu, Conghao Liu, Xunan An, Xin Liu, Liang Hao

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The Roles of the Eastern Atlantic Niño and Central Atlantic Niño in ENSO Prediction by Yuzhi Gan, Xingchen Shen, Yishuai Jin, Zhengxiang Rao, Yiqun Pang, Shouyou Huang

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Ultra-fast real time ethanol sensing behavior and reduction in optical bandgap of the hydrothermally synthesized V2O5/ZnO nanocomposites by Abdul Hakim Shah, Muhammad Anas, Muneerah Alomar, Muhamad Hanif, Muhammad Zubair, Nazir ur Rehman

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Metabolism-related proteins as biomarkers for predicting prognosis in polycystic ovary syndrome by Nan Ding, Ruifang Wang, Peili Wang, Fang Wang

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