Performance of the comprehensive nutrition screening index in predicting mortality after cardiac surgery by Jaeyeon Chung, Jinyoung Bae, Seyong Park, Dong Hyouk Kim, Youn Joung Cho, Karam Nam, Yunseok Jeon, Jae-Woo Ju

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The impact of feature selection techniques on effort‐aware defect prediction: An empirical study by Fuyang Li, Wanpeng Lu, Jacky Wai Keung, Xiao Yu, Lina Gong, Juan Li

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An evaluation methodology for machine learning-based tandem mass spectra similarity prediction by Michael Strobel, Alberto Gil-de-la-Fuente, Mohammad Reza Zare Shahneh, Yasin El Abiead, Roman Bushuiev, Anton Bushuiev, Tomáš Pluskal, Mingxun Wang

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Time in range prediction using the experimental mobile application in type 1 diabetes by A. N. Rusanov, T. I. Rodionova

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Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI by Jianhong Cheng, Hulin Kuang, Songhan Yang, Hailin Yue, Jin Liu, Jianxin Wang

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Copper resource demand prediction for low-carbon transition of China’s power system by HAO Min, WANG Peng, CHEN Weiqiang

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Preoperative total parathyroid volume is an independent marker to predict recurrence for secondary hyperparathyroidism by Zhongkui Wang, Fuquan Zhang, Chengpei Zhu, Chunyue Wu, Xiangchao Meng, Xudong Wang

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Assessment of the Prediction Accuracy of Genomic Selection for Rice Amylose Content and Gel Consistency by Yanjie Lu, Chengcai Xia, Zihao Wang, Qi Liu, Mengyuan Zhu, Xianqiu Xie, Yongyu Zhao, Yunwei Jiang, Xuan Luo, Meiling Zou, Dayong Fan, Zhiqiang Xia

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Global Ionospheric TEC Map Prediction Based on Multichannel ED-PredRNN by Haijun Liu, Yan Ma, Huijun Le, Liangchao Li, Rui Zhou, Jian Xiao, Weifeng Shan, Zhongxiu Wu, Yalan Li

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Drug–target interaction prediction by integrating heterogeneous information with mutual attention network by Yuanyuan Zhang, Yingdong Wang, Chaoyong Wu, Lingmin Zhan, Aoyi Wang, Caiping Cheng, Jinzhong Zhao, Wuxia Zhang, Jianxin Chen, Peng Li

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Unleashing the power of AI in predicting the technological and phenolic maturity of pomegranates cultivated in Lebanon by Rim Ghannoum, Nourhan Taha, David D. Gaviria, Hiba N. Rajha, Nada El Darra, Shadi Albarqouni

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A novel indicator for predicting functional recovery in elderly hip fracture patients by Weicheng Wu, Zhening Guo, Peiyao Zhu, Bo Lv, Yongtao Mao, Chang She, Wei Xu, Jun Gu, Jie Pan, Liubing Li, Liubing Li

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Predicting Risk for Patent Ductus Arteriosus in the Neonate: A Machine Learning Analysis by Ana Maria Cristina Jura, Daniela Eugenia Popescu, Cosmin Cîtu, Marius Biriș, Corina Pienar, Corina Paul, Oana Maria Petrescu, Andreea Teodora Constantin, Alexandru Dinulescu, Ioana Roșca

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Roles of Soil and Atmospheric Dryness on Terrestrial Vegetation Productivity in China ‐ Which Dominates at What Thresholds by Tianzi Wang, Jingwen Zhang, Zejun Li, Kairong Lin, Wang Zhou, Genghong Wu, Ming Pan, Xiaohong Chen

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Prediction of hyperkalemia in ESRD patients by identification of multiple leads and multiple features on ECG by Daojun Xu, Bin Zhou, Jiaqi Zhang, Chenyu Li, Chen Guan, Yuxuan Liu, Lin Li, Haina Li, Li Cui, Lingyu Xu, Hang Liu, Li Zhen, Yan Xu

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Social vulnerability index enhances FRAX prediction of hip fractures in fall patients by Atta Taseh, Evan Sirls, George Casey, Sarah Hearns, Job N. Doornberg, Santiago A. Lozano-Calderon, Mitchel B. Harris, Soheil Ashkani-Esfahani

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Predicting microbe-disease associations via graph neural network and contrastive learning by Cong Jiang, Cong Jiang, Junxuan Feng, Junxuan Feng, Bingshen Shan, Bingshen Shan, Qiyue Chen, Jian Yang, Jian Yang, Gang Wang, Gang Wang, Xiaogang Peng, Xiaozheng Li, Xiaozheng Li

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Prediction of Power Fluctuations of Gaussian Beams After Transmission Through Turbulent Atmosphere by Zhihao Wan, Jiayi Zhu, Cheng Huang, Zhimin He, Jun Zeng, Fuchang Chen, Chaoqun Yu, Yan Li, Huanting Chen, Yongtao Zhang, Jixiong Pu, Huichuan Lin

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Comparative analysis of five obesity-related indicators for predicting infertility in U.S. adults by Ke-Qin Yu, Ke-Qin Yu, Wei-Qiang Zhao, Wei-Qiang Zhao, Ting Zhang, Ting Zhang

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PRT to predict pharmacokinetic profiles as part of a bioequivalence study of the drug deferasirox by A. V. Suvorova, P. A. Losenkova, Yu. V. Medvedev, E. A. Malashenko, I. E. Makarenko, A. M. Poluyanov, I. E. Shohin

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