Ultrasound contrast microbubbles to predict the microsphere distribution during transarterial radioembolization with holmium microspheres, an in vitro proof of concept study by Jan L. van der Hoek, Tess J. Snoeijink, Hadi Mirgolbabaee, Romaine Kunst, Michel Versluis, Jutta Arens, Srirang Manohar, Erik Groot Jebbink

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Prediction of the risk of 3-year chronic kidney disease among elderly people: a community-based cohort study by Tao Wang, Zhitong Zhou, Longbing Ren, Zhiping Shen, Jue Li, Lijuan Zhang

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Eosinophil counts predict 3-year risk of major adverse cardiovascular and cerebrovascular events in carotid artery stenosis patients by Ruijing Zhang, Runze Chang, Xiaotong Qi, Xing Cheng, Lin Zheng, Chuanlong Lu, Maolin Qiao, Siqi Gao, Yaling Li, Jinshan Chen, Jie Hu, Honglin Dong

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Solute migration mechanisms and their prediction for melting brackish water ice using gravity-induced desalination techniques by Yuhui Yang, Hairui Wang, Weixiong Huang, Zhaoyang Li, Xin Rong, Zhan Song, Xiaomei Dong

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Validation of a Modified Pediatric Risk of Mortality III Model in a Pediatric Intensive Care Unit in Thailand by Kanokpan Ruangnapa, Sittikiat Sucheewakul, Tippawan Liabsuetrakul, Edward McNeil, Kantara Lim, Wanaporn Anantaseree

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Tuck-KGC: based on tensor decomposition for diabetes knowledge graph completion model integrating Chinese and Western medicine by Jiangtao ZhangSun, Yu Xin Yang, Beiji Zou, Qinghua Peng, Xiao Xia Xiao

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Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data by Farhan Amir Fardush Sham, Ahmed El-Shafie, Wan Zurina Binti Wan Jaafar, S. Adarsh, Mohsen Sherif, Ali Najah Ahmed

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Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases by Huai-wen Zhang, Yi-ren Wang, Bo Hu, Bo Song, Zhong-jian Wen, Lei Su, Xiao-man Chen, Xi Wang, Ping Zhou, Xiao-ming Zhong, Hao-wen Pang, You-hua Wang

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Determining the Optimal Flowering Time in Rainfed Wheat Under Simultaneous Heat and Drought Stresses in Some Regions of Iran as Predicted by APSIM-Wheat Model by َArezu Shahbazi, Sara Abedini, Reza Deihimfard, Sajjad Rahimi-Moghaddam, Omid Noori

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Development and validation of a nomogram model for prolonged length of stay in spinal fusion patients: a retrospective analysis by Linghong Wu, Xiaozhong Peng, Yao Lu, Cuiping Fu, Liujun She, Guangwei Zhu, Xianglong Zhuo, Wei Hu, Xiangtao Xie

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Optimal machine learning algorithms and UAV multispectral imagery for crop phenotypic trait estimation: a comprehensive review and meta-analysis by Adama Ndour, Gerald Blasch, João Valente, Bisrat Haile Gebrekidan, Tesfaye Shiferaw Sida

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The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure by Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani

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Identifying Informative Nodes in Attributed Spatial Sensor Networks Using Attention for Symbolic Abstraction in a GNN-based Modeling Approach by Leonid Schwenke, Stefan Bloemheuvel, Martin Atzmueller

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Quantifying and Forecasting Emission Reductions in Urban Mobility: An IoT-Driven Bike-Sharing Analysis by Manuel Uche-Soria, Bernardo Tabuenca, Gonzalo Halcón-Gibert, Yilsy Núñez-Guerrero

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Global, regional, and national burdens of PUD in women of reproductive age from 1992 to 2021: a trend analysis based on the global burden of disease study 2021 by Xiaofeng Wang, Xiaofeng Wang, Song Yang, Shanzhi Zhao, Zhitao Yang, Enqiang Mao, Erzhen Chen, Erzhen Chen, Ying Chen, Ying Chen

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Adaptive Energy Management for MATTER-Enabled Smart Homes by Navodit Bhardwaj, Pallavi Joshi

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Machine learning in predicting immediate and long-term outcomes of myocardial revascularization: a systematic review by B. I. Geltser, V. Yu. Rublev, M. M. Tsivanyuk, K. I. Shakhgeldyan

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Statistical Data-Generative Machine Learning-Based Credit Card Fraud Detection Systems by Xiaomei Feng, Song-Kyoo Kim

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Home is where my villa is: a machine learning-based predictive suitability map for Roman features in Northern Noricum (ca. 50–500 CE/Lower Austria/AUT) by Dominik Hagmann

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CT radiomics combined with neural networks predict the malignant degree of pulmonary grinding glass nodules by Pengfei Chen, Huiyuan Gong, Lei Zhang, Yang Geng

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