Epidemiology and future trend predictions of ischemic stroke based on the global burden of disease study 1990–2021 by Jiayu Liu, Aoxi Xu, Zhifeng Zhao, Bin Ren, Zhao Gao, Dandong Fang, Bo Hei, Junzhao Sun, Xiangyang Bao, Lin Ma, Xiaoque Zheng, Yuxin Wang, Hecheng Ren, Guan Wang, Li Zhu, Jianning Zhang

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Prediction of potential targets of aloe-emodin in the treatment of hepatocellular carcinoma using network pharmacology combined with bioinformatics by Jinlong Wei, Haosong Chen, Maoqi Xu, Zhenglin Zhang, Jin Wang, Wen Jiang, Weiguo Zhou, Maoming Xiong

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Genomic Prediction of Kernel Water Content in a Hybrid Population for Mechanized Harvesting in Maize in Northern China by Ping Luo, Ruisi Yang, Lin Zhang, Jie Yang, Houwen Wang, Hongjun Yong, Runze Zhang, Wenzhe Li, Fei Wang, Mingshun Li, Jianfeng Weng, Degui Zhang, Zhiqiang Zhou, Jienan Han, Wenwei Gao, Xinlong Xu, Ke Yang, Xuecai Zhang, Junjie Fu, Xinhai Li, Zhuanfang Hao, Zhiyong Ni

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Prediction of Survival in Patients With Esophageal Cancer After Immunotherapy Based on Small-Size Follow-Up Data by Yuhan Su, Chaofeng Huang, Chen Yang, Qin Lin, Zhong Chen

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Machine learning predictions on the output parameters of common rail direct injection engines fueled with ternary blend by Subramanian Karthikeyan, Paramasivam Sathiyagnanam Amudhavalli, Dillikannan Damodharan

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Wind Stress‐Induced Multiyear Predictability of Annual Extratropical North Atlantic Sea Surface Temperature Anomalies by A. Reintges, M. Latif, M. H. Bordbar, W. Park

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PREDICTION OF HAJJ PILGRIMS' HEALTH RISK USING K-NN, DECISION TREE, CROSS VALIDATION, AND SMOTE by Widi Astuti, Fajar Sarasati

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MACHINE LEARNING USING MULTIPLE LOGISTIC REGRESSION FOR ANTIMICROBIAL AND HEMOLYTIC PEPTIDES PREDICTION AND THEIR IDENTIFICATION IN LARGE PROTEINS by Krenev I.A.

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Automatic speech analysis combined with machine learning reliably predicts the motor state in people with Parkinson’s disease by Tabea Thies, Elisa Mallick, Johannes Tröger, Ebru Baykara, Doris Mücke, Michael T. Barbe

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Cross-scale prediction for thermochemical–mechanical damage of barrel weapons under high-temperature and supersonic environments by Shuli Li, Guolai Yang, Liqun Wang

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Machine and Deep Learning-Based Seizure Prediction: A Scoping Review on the Use of Temporal and Spectral Features by Yousif A. Saadoon, Mohamad Khalil, Dalia Battikh

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Deep-learning-based automated prediction of mouse seminiferous tubule stage by using bright-field microscopy by Yuta Tokuoka, Tsutomu Endo, Takashi Morikura, Yuki Hiradate, Masahito Ikawa, Akira Funahashi

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A High Accuracy Spatial Reconstruction Method Based on Surface Theory for Regional Ionospheric TEC Prediction by Jian Wang, Yi‐ran Liu, Ya‐fei Shi

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Research on Distributed Photovoltaic Short-Term Power Prediction Method Based on Weather Fusion and LSTM-Net by Fengjun LI, Lei WANG, Jian ZHAO, Jianbin ZHANG, Shiyao ZHANG, Yangyang TIAN

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IMPROVING ACCURACY OF PREDICTION INTERVALS OF HOUSEHOLD INCOME USING QUANTILE REGRESSION FOREST AND SELECTION OF EXPLANATORY VARIABLES by Asrirawan Asrirawan, Khairil Anwar Notodiputro, Bagus Sartono

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A novel automated CT biomarker to predict outcomes in acute ischemic stroke: net water uptake by Monica Mallavarapu, Hyun Woo Kim, Ananya Iyyangar, Sergio Salazar-Marioni, Albert J. Yoo, Luca Giancardo, Sunil A. Sheth, Jerome A. Jeevarajan

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Preoperative CT-based radiomics nomogram for progression-free survival prediction in pediatric posterior mediastinal malignancies by Shucheng Bi, Chenghao Chen, Jie Yu, Ting Yang, Jihang Sun, Zunying Hu, Qi Zeng, Yun Peng

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Ceftazidime retains in vivo efficacy against strains of Stenotrophomonas maltophilia for which traditional testing predicts resistance by Matthew C. Phillips, Bosul Lee, Sarah L. Miller, Jun Yan, Kristine Goy, Marlène Maeusli, Tina Lam, Catherine Spellberg, Michael Spellberg, Rosemary She, Brad Spellberg, Brian Luna

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Hand dexterity and mobility independently predict cognition in older adults: a multi-domain regression analysis by Thomas Rudolf Schneider, Ansgar Felbecker, Ansgar Felbecker, Ben von Mitzlaff, Ben von Mitzlaff, Gregor Weissofner, Gregor Weissofner, Sarah Meier, Sarah Meier, Patrick Eggenberger, Patrick Eggenberger, Patrick Eggenberger, Simon Annaheim

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Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding by Zhaohui Bai, Su Lin, Mingyu Sun, Shanshan Yuan, Mariana Barros Marcondes, Dapeng Ma, Qiang Zhu, Yiling Li, Yingli He, Cyriac Abby Philips, Xiaofeng Liu, Kanokwan Pinyopornpanish, Lichun Shao, Nahum Méndez-Sánchez, Metin Basaranoglu, Yunhai Wu, Yu Chen, Ling Yang, Andrea Mancuso, Frank Tacke, Bimin Li, Lei Liu, Fanpu Ji, Xingshun Qi

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