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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Prediction of Metabolic Parameters of Diabetic Patients Depending on Body Weight Variation Using Machine Learning Techniques by Oana Vîrgolici, Daniela Lixandru, Andrada Mihai, Diana Simona Ștefan, Cristian Guja, Horia Vîrgolici, Bogdana Virgolici

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A Generalized GNN-Transformer-Based Radio Link Failure Prediction Framework in 5G RAN by Kazi Hasan, Khaleda Papry, Thomas Trappenberg, Israat Haque

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MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops by Dian Chao, Hao Wang, Fengqiang Wan, Shen Yan, Wei Fang, Yang Yang

“…Recent emphasis has been placed on deep learning models to enhance prediction accuracy. However, current deep learning models focus on learning specific phenotypes for the given task, overlooking the inter-correlations among different phenotypes. …”
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Clinical characteristics of adrenal crisis in 371 adult patients with glucocorticoid-induced adrenal insufficiency by Ying Qiu, Ying Qiu, Ying Luo, Xinqian Geng, Yujian Li, Yujian Li, Yunhua Feng, Ying Yang

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Physics-Informed Learning for Predicting Transient Voltage Angles in Renewable Power Systems Under Gusty Conditions by Ruoqing Yin, Liz Varga

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LTR-Net: A deep learning-based approach for financial data prediction and risk evaluation in enterprises. by Shimiao Liu

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A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing by Berk Kıvılcım, Patrick Erik Bradley

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Higher AJCC stage at primary tumor diagnosis may predict shorter survival in metastatic uveal melanoma by Serdar Yavuzyigitoglu, Shiva Sabazade, Viktor Gill, Erwin Brosens, Emine Kiliç, Gustav Stålhammar

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Prediction of effective moment of inertia for hybrid FRP-steel reinforced concrete beams using the genetic algorithm by A. Kheyroddin, F. Maleki

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Short-Term Energy Consumption Prediction in Korean Residential Buildings Using Optimized Multi-Layer Perceptron by Fazli Wahid, Do Hyeun Kim

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A novel destination prediction attack and corresponding location privacy protection method in geo-social networks by Di Xue, Li-Fa Wu, Hua-Bo Li, Zheng Hong, Zhen-Ji Zhou

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Introducing CHiDO—A No Code Genomic Prediction software implementation for the characterization and integration of driven omics by Francisco González, Julián García‐Abadillo, Diego Jarquín

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Data driven decisions in education using a comprehensive machine learning framework for student performance prediction by Muhammad Nadeem Gul, Waseem Abbasi, Muhammad Zeeshan Babar, Abeer Aljohani, Muhammad Arif

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Multi-granularity sentiment analysis and learning outcome prediction for Chinese educational texts based on transformer architecture by Xinyue Gao, Quanrong Fang

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Machine Learning-Enhanced 3D GIS Urban Noise Mapping with Multi-Modal Factors by Jianping Pan, Yuzhe He, Wei Ma, Shengwang An, Lu Li, Dan Huang, Dunxin Jia

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Harnessing Artificial Intelligence for the Diagnosis, Treatment and Research of Multiple Sclerosis by Manisha S. Patil, Linda Y. Lin, Rachel K. Ford, Elizaveta J. James, Stella Morton, Felix Marsh-Wakefield, Simon Hawke, Georges E. Grau

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