Machine learning algorithms to predict epidural-related maternal fever: a retrospective study by Xiaohui Guo, Xiaohui Guo, Xiaohui Guo, Haixia Zhang, Haixia Zhang, Haixia Zhang, Hongliang Mei, Hongliang Mei, Hongliang Mei

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R-YOLO: Enhancing Takeoff/Landing Safety in UAM Vertiports With Deep Learning Model by Nan Lao Ywet, Aye Aye Maw, Jae-Woo Lee

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Generalizable Storm Surge Risk Modeling by Mahlon Scott, Hsin-Hsiung Huang

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Prediction of Breakdown Voltage of Long Air Gaps Under Switching Impulse Voltage Based on the ISSA-XGBoost Model by Zisheng Zeng, Bin Song, Shaocheng Wu, Yongwen Li, Deyu Nie, Linong Wang

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Diagnostic models for sepsis-associated encephalopathy: a comprehensive systematic review and meta-analysis by Tengfei Zhou, Tengfei Zhou, Xinming Tian, Wei Wang, Zhe Chu

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Virtual-Vector-Based Predictive Torque Control for Six-Phase IM With Reduced Computational Burden and Copper Losses by Osvaldo Gonzalez, Jesus Doval-Gandoy, Magno Ayala, Jorge Rodas, Paola Maidana, Christian Medina, Carlos Romero, Larizza Delorme, Raul Gregor, Ricardo Maciel

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Deep Learning-Based Glucose Prediction Models: A Guide for Practitioners and a Curated Dataset for Improved Diabetes Management by Saul Langarica, Diego de la Vega, Nawel Cariman, Martin Miranda, David C. Andrade, Felipe Nunez, Maria Rodriguez-Fernandez

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A (Simplified) Biogeochemical Numerical Model to Predict Saturation, Porosity and Permeability During Microbially Induced Desaturation and Precipitation by Liya Wang, Leon vanPaassen, Vinh Pham, Nariman Mahabadi, Jia He, Yunqi Gao

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Risk stratification system and visualized dynamic nomogram constructed for predicting postoperative pneumonia in geriatric patients with hip fracture by Wanyun Tang, Yudong Hou, Chenglin Bai, Yaohua Shang

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A Novel Prediction Model for Thermal Conductivity of Open Microporous Metal Foam Based on Resonance Enhancement Mechanisms by Anqi Chen, Jialong Chai, Xiaohan Ren, Mingdong Li, Haiyan Yu, Guilong Wang

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Polygenic risk score models based on anxiety-related traits as endophenotypes to predict unipolar depression and suicidal behavior by A. V. Kazantseva, R. F. Enikeeva, Yu. D. Davydova, R. G. Valinurov, I. Yu. Ahmerova I.Yu., S. B. Malykh, M. M. Lobaskova, E. K. Khusnutdinova

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A Machine Learning‐Based Approach to Quantify ENSO Sources of Predictability by Ioana Colfescu, Hannah Christensen, David John Gagne

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Development and validation of machine learning models for predicting extubation failure in patients undergoing cardiac surgery: a retrospective study by Xiaofeng Jiang, Wenyong Peng, Jianbo Xu, Yanhong Zhu

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Prediction of Temperature Using SDSM Multiple Linear Models (Case Study: Hoor al-Azim and Miangaran Wetlands) by Mansour Chatrenour, Nasrin Moradimajd, Bahare Delsouz Khaki, Mir Naser Navidi, Naser Davatgar

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STFGCN: Spatio-Temporal Fusion Graph Convolutional Networks for Subway Traffic Prediction by Xiaoxi Zhang, Zhanwei Tian, Yan Shi, Qingwen Guan, Yan Lu, Yujie Pan

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Predicting intra-abdominal hypertension using anthropometric measurements and machine learning by Salar Tayebi, Rob Wise, Niels Van Regenmortel, Hilde Dits, Karen Schoonheydt, Inneke De laet, Luca Malbrain, Johan Stiens, Wojciech Dabrowski, Manu L. N. G. Malbrain

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Detection of Hepatocellular Carcinoma Using Optimized miRNA Combinations and Interpretable Machine Learning Models by Zhengwu Long, Lisheng Zhang

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Predicting Remaining Useful Life of Lithium-Ion Batteries for Electric Vehicles Using Machine Learning Regression Models by Sravanthi C L, Dr.J N Chandra sekhar

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Tunnel composting Optimisation using polynomial models with moisture and density control for electrical conductivity stabilisation by Tiago Santos, Isabel Bentes, Carlos Afonso Teixeira

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A Combined‐Mode Machine Learning Model for Predicting Stroke Recurrence During Hospitalization in Patients with Acute Minor Ischemic Stroke by Wanxing Ye, Jin Gan, Meng Wang, Ziyang Liu, Hongqiu Gu, Xin Yang, Chunjuan Wang, Xia Meng, Yong Jiang, Hao Li, Liping Liu, Yongjun Wang, Zixiao Li

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