Evaluation of the A2B Score for Prediction of Survival in Patients With Heart Failure in a Nationwide Cohort in Japan by Atsushi Kyodo, Yasuki Nakada, Maki Nogi, Kazutaka Nogi, Satomi Ishihara, Tomoya Ueda, Takeshi Tohyama, Nobuyuki Enzan, Tomomi Ide, Shouji Matsushima, Hiroyuki Tsutsui, Yoshihiko Saito

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Student dropout prediction through machine learning optimization: insights from moodle log data by Markson Rebelo Marcolino, Thiago Reis Porto, Tiago Thompsen Primo, Rafael Targino, Vinicius Ramos, Emanuel Marques Queiroga, Roberto Munoz, Cristian Cechinel

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A radiomics-based interpretable model integrating delayed-phase CT and clinical features for predicting the pathological grade of appendiceal pseudomyxoma peritonei by Dong Bai, Guanjun Shi, Yuanzi Liang, Fang Li, Zhuozhao Zheng, Zhiqun Wang

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Aircraft Trajectory Prediction With Inverted Transformer by Seokbin Yoon, Keumjin Lee

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Specifics of predicting the profitability of individual bank products based on machine learning by Inna Strelchenko, Dmytro Stognii, Anatolii Strelchenko

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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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A time-dependent predictive model for cardiocerebral vascular events in chronic hemodialysis patients: insights from a prospective study by Haowen Zhong, Haowen Zhong, Mengbi Zhang, Mengbi Zhang, Yingye Xie, Yingye Xie, Yuqin Qin, Na Xie, Na Xie, Yuqiu Ye, Yuqiu Ye, Heng Li, Heng Li, Hongquan Peng, Xun Liu, Xiaoyan Su, Xiaoyan Su, Shaohong Li, Shaohong Li

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Uncertainties in predicting the medium-term future occurrence of grapevine budburst in Europe: the role of phenological models and climate scenarios by Sergi Costafreda-Aumedes, Luisa Leolini, Christoph Menz, Chenyao Yang, Giovanni Argenti, Camilla Dibari, Marco Bindi, Helder Fraga, Joao Santos, Daniel Molitor, J. Arturo Torres-Matallana, Marko Simeunović, Marco Moriondo

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A Study on Hyperspectral Soil Moisture Content Prediction by Incorporating a Hybrid Neural Network into Stacking Ensemble Learning by Yuzhu Yang, Hongda Li, Miao Sun, Xingyu Liu, Liying Cao

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Predicting Early Employability of Vietnamese Graduates: Insights from Data-Driven Analysis Through Machine Learning Methods by Long-Sheng Chen, Thao-Trang Huynh-Cam, Van-Canh Nguyen, Tzu-Chuen Lu, Dang-Khoa Le-Huynh

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Disease prediction using NLP techniques by Hamza Ouabiba, Farah Sniba

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Polygenic prediction and gene regulation networks by Juan F. Poyatos

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Prediction of quality software quality indicators with applied modifications of integrated gradiates methods by Anton Shantyr, Olha Zinchenko, Kamila Storchak, Andrii Bondarchuk, Yuriy Pepa

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Early Prediction of Stroke Risk Using Machine Learning Approaches and Imbalanced Data by Hassan Qassim

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Challenges in Specifying and Predicting Space Weather by R. W. Schunk, L. Scherliess, V. Eccles, L. C. Gardner, J. J. Sojka, L. Zhu, X. Pi, A. J. Mannucci, A. Komjathy, C. Wang, G. Rosen

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Predicting parasitic plants Loranthus Europaeus range shifts in response to climate change by Marlena Baranowska, Adrian Łukowski, Robert Korzeniewicz, Wojciech Kowalkowski, Łukasz Dylewski

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Stroke Prediction Based on Machine Learning by Zhang Yuhan

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Prediction of bloodstream infection using machine learning based primarily on biochemical data by Ramtin Zargari Marandi, Frederik Boetius Hertz, Jesper Qvist Thomassen, Steen Christian Rasmussen, Ruth Frikke-Schmidt, Niels Frimodt-Møller, Karen Leth Nielsen, Cameron Ross MacPherson

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In-Season Potato Nitrogen Prediction Using Multispectral Drone Data and Machine Learning by Ehsan Chatraei Azizabadi, Mohamed El-Shetehy, Xiaodong Cheng, Ali Youssef, Nasem Badreldin

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An Integrated Hybrid-Stochastic Framework for Agro-Meteorological Prediction Under Environmental Uncertainty by Mohsen Pourmohammad Shahvar, Davide Valenti, Alfonso Collura, Salvatore Micciche, Vittorio Farina, Giovanni Marsella

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