Improving multi-trait genomic prediction by incorporating local genetic correlations by Jun Teng, Tingting Zhai, Xinyi Zhang, Changheng Zhao, Wenwen Wang, Hui Tang, Chao Ning, Yingli Shang, Dan Wang, Qin Zhang

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Predicting Phenoconversion in Isolated RBD: Machine Learning and Explainable AI Approach by Yong-Woo Shin, Jung-Ick Byun, Jun-Sang Sunwoo, Chae-Seo Rhee, Jung-Hwan Shin, Han-Joon Kim, Ki-Young Jung

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B1 corrected T1 mapping in the differentiation and prediction of breast cancer by Yijie Chen, Jichun Guo, Feifei Shan, Gehua Tong, Zhihua Meng, Zhensong Chen, Junqi Sun

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Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network by Yang Gao, Xiang Zhang, Zhongquan Sun, Payal Chandak, Jiajun Bu, Haishuai Wang

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Ensemble learning based sustainable approach to rebuilding metal structures prediction by Tetiana Vlasenko, Taras Hutsol, Vitaliy Vlasovets, Szymon Glowacki, Tomasz Nurek, Iryna Horetska, Savelii Kukharets, Yuriy Firman, Olexandra Bilovod

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Use machine learning to predict treatment outcome of early childhood caries by Yafei Wu, Maoni Jia, Ya Fang, Duangporn Duangthip, Chun Hung Chu, Sherry Shiqian Gao

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Can spatial distribution of ungulates be predicted by modeling camera trap data related to landscape indices? A case study in a fragmented mediterranean landscape by Antonio Belda, Sandra Oltra-Crespo, Pau Miró-Martínez, Benito Zaragozí

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Study protocol: Comparison of different risk prediction modelling approaches for COVID-19 related death using the OpenSAFELY platform [version 2; peer review: 2 approved] by Richard Croker, Anna Schultze, Frank Hester, John Parry, Rafael Perera, Sam Harper, Rosalind M. Eggo, Liam Smeeth, Ewout Steyerberg, Caroline Minassian, Ruth Keogh, Karla Diaz-Ordaz, Stephen J.W. Evans, Elizabeth J. Williamson, Krishnan Bhaskaran, John Tazare, Helen I McDonald, Alex J. Walker, Sebastian Bacon, Laurie A. Tomlinson, Helen J. Curtis, Chris Bates, Caroline E. Morton, Harriet Forbes, Amir Mehrkar, Emily Nightingale, Brian D Nicholson, Richard Grieve, Dave Evans, Peter Inglesby, David Harrison, Ben Goldacre, David Leon, Jonathan Cockburn, Brian MacKenna, Rohini Mathur, Will J. Hulme, Nicholas G. Davies, Ian J. Douglas, Jessica Morley, Angel Wong, Christopher T. Rentsch

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Study on the impact of COVID-19 epidemic and agent disease risk simulation model based on individual factors in Xi’an City by Wen Dong, Wen Dong, Henan Yao, Henan Yao, Wei-Na Wang

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Modal Analysis of QP and LP Solution in Steady-state Optimization Layer of Two-layer Structure MPC by WANG Hongrui, ZHANG Xin, LIU Bowen, LIN Na, ZOU Tao

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Combining physics-based and data-driven models for quantitatively accurate plasma profile prediction that extrapolates well; with application to DIII-D, AUG, and ITER tokamaks by J. Abbate, E. Fable, G. Tardini, R. Fischer, E. Kolemen, the ASDEX Upgrade Team

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Deriving Early Citrus Fruit Yield Estimation by Combining Multiple Growing Period Data and Improved YOLOv8 Modeling by Menglin Zhai, Juanli Jing, Shiqing Dou, Jiancheng Du, Rongbin Wang, Jichi Yan, Yaqin Song, Zhengmin Mei

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Modeling Wetland Biomass and Aboveground Carbon: Influence of Plot Size and Data Treatment Using Remote Sensing and Random Forest by Tássia Fraga Belloli, Diniz Carvalho de Arruda, Laurindo Antonio Guasselli, Christhian Santana Cunha, Carina Cristiane Korb

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Modeling and mapping spatial distribution of baseline soil organic carbon stock, a case of West Hararghe, Oromia Regional State, Eastern Ethiopia by Martha Kidemu Negassa, Mitiku Haile, Gudina Legesse Feyisa, Lemma Wogi, Feyera Merga

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Different artificial neural networks for predicting burnout risk in Italian anesthesiologists by Marco Cascella, Alessandro Simonini, Sergio Coluccia, Elena Giovanna Bignami, Gilberto Fiore, Emiliano Petrucci, Alessandro Vergallo, Giacomo Sollecchia, Franco Marinangeli, Roberto Pedone, Alessandro Vittori

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Fecal metabolites as early-phase biomarkers and prediction panel for ischemic stroke by Ke Xu, Zhe Ren, Shuang Zhao, Yi Ren, Jiaolin Wang, Wentao Wu, Zicheng Hu, Fei He, Dianji Tu, Qi Zhong, Jianjun Chen, Peng Xie

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Predicting Hospitalization Length in Geriatric Patients Using Artificial Intelligence and Radiomics by Lorenzo Fantechi, Federico Barbarossa, Sara Cecchini, Lorenzo Zoppi, Giulio Amabili, Mirko Di Rosa, Enrico Paci, Daniela Fornarelli, Anna Rita Bonfigli, Fabrizia Lattanzio, Elvira Maranesi, Roberta Bevilacqua

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Environmental DNA Epigenetics Accurately Predicts the Age of Cultured Fish Larvae by Eliot Ruiz, Fabien Leprieur, Gérard Sposito, Martina Lüthi, Michel Schmidlin, Jacques Panfili, Loïc Pellissier, Camille Albouy

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Evaluating Imputation Methods to Improve Prediction Accuracy for an HIV Study in Uganda by Nadia B. Mendoza, Chii-Dean Lin, Susan M. Kiene, Nicolas A. Menzies, Rhoda K. Wanyenze, Katherine A. Schmarje, Rose Naigino, Michael Ediau, Seth C. Kalichman, Barbara A. Bailey

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Diagnosis and prediction ofprimary open-angle glaucoma by the level of local cytokine by N. M. Agarkov, A. M. Chukhraev, N. V. Yablokova

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