A Nomogram for Predicting Hospital Mortality in Patients with COVID-19 Admitted to the Intensive Care Unit by A. N. Kuzovlev, L. V. Ermokhina, N. S. Melnikova, L. B. Berikashvili, M. Ya. Yadgarov, K. K. Kadantseva, N. I. Chaus, S. N. Perekhodov, T. S. Serkova, V. V. Likhvantsev

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Prediction and optimization of gas turbine secondary air system cooling efficiency based on deep learning by Yulong Yao, Bo Hu, Chuan Wang, Jiawei Fan

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Development and validation of an artificial intelligence-based pipeline for predicting oral epithelial dysplasia malignant transformation by Adam J. Shephard, Hanya Mahmood, Shan E. Ahmed Raza, Anna Luíza Damaceno Araújo, Alan Roger Santos-Silva, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Kris D. McCombe, Stephanie G. Craig, Jacqueline James, Jill Brooks, Paul Nankivell, Hisham Mehanna, Syed Ali Khurram, Nasir M. Rajpoot

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Genetically predicted brain cortical structure mediates the causality between insulin resistance and cognitive impairment by Chaojuan Huang, Yuyang Zhang, Mingxu Li, Qiuju Gong, Siqi Yu, Zhiwei Li, Mengmeng Ren, Xia Zhou, Xiaoqun Zhu, Zhongwu Sun

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Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer’s disease progression by Sepehr Aghajanian, Fateme Mohammadifard, Ida Mohammadi, Shahryar Rajai Firouzabadi, Ali Baradaran Bagheri, Elham Moases Ghaffary, Omid Mirmosayyeb

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Burden of Chronic Obstructive Pulmonary Disease in China: A Global Burden of Disease Study on Temporal Trends, Risk Factor Contributions, and Projected Disease Burden from 1990 to... by Jiaman Liao, Longsheng Zeng, Xueliang Huang, Hao Huang, Cuina Shen, Jing Li, Yiqiang Zhan

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The association between neutrophil percentage-to-albumin ratio and cardiovascular disease: evidence from a cross-sectional study by Xinfu Huang, Yuqing Zhang, Wanting Hao, Xue Wu, Peng Yang

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Maximizing spatial–temporal coverage in mobile crowd-sensing based on public transports with predictable trajectory by Chaowei Wang, Chensheng Li, Cai Qin, Weidong Wang, Xiuhua Li

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Predicting Student Loyalty in Higher Education Using Machine Learning: A Random Forest Approach by Qoriani Widayati, Kusworo Adi, R Rizal Isnanto, Eka Puji Agustini, Dewa Rizki Rahmat Julianto, Fawwaz Bimo Prakasa

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Automated Loudness Growth Prediction From EEG Signals Using Autoencoder and Multi-Target Regression by D. Rama Harshita, Nitya Tiwari, Himanshu Padole, K. S. Nataraj

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Machine-learning prediction for hospital length of stay using a French medico-administrative database by Franck Jaotombo, Vanessa Pauly, Guillaume Fond, Veronica Orleans, Pascal Auquier, Badih Ghattas, Laurent Boyer

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Multiparametric MRI-based radiomics for preoperative prediction of parametrial invasion in early-stage cervical cancer by Chongshuang Yang, Man Li, Xin Yi, Lin Wang, Guangxian Kuang, Chunfang Zhang, Benyong Yao, Zhihong Qin, Tianliang Shi, Qiang Jiang

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Efficacy of Scoring Systems for Routing and Predicting Length of ICU Stay in Severe Community-Acquired Pneumonia by Irina A. Ruslyakova, Elvina Z. Shamsutdinova, Galina A. Mityuchenko, Alexandra O. Orlova, Elena B. Avalueva

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Development and Validation of Quantile Regression Forests for Prediction of Reference Quantiles in Handgrip and Chair‐Stand Test by Giulia Giordano, Luca Mastrantoni, Francesco Landi, The Lookup 8+ Study Group

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The EZ-ALBI and PALBI scores contribute to the clinical application of ALBI in predicting postoperative recurrence of HCC by Tao Sun, Xiangkun Wang, Guangcan Zhu, Jinfu Zhang, Juan Huang, Renfeng Li, Xinguang Qiu

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Role of thromboelastography in predicting stroke risk after endovascular treatment for symptomatic intracranial atherosclerotic stenosis by Bo Zhou, Haozhi Gong, Jiazheng Li, Jinjian Yang, Bin Yang, Peng Gao, Yanfei Chen, Yabing Wang, Jian Chen, Fei Chen, Tao Wang, Liqun Jiao

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Nomogram based on tumor burden score for prediction of prognosis of patients with hepatocellular carcinoma before hepatectomy by Qianru Xiao, Zhengqing Lei, Anfeng Si, Xuewu Tang, Facai Yang, Weihu Ma, Cheng Chi, Qiushi Yu, Yigang He, Haolan Tang, Tianhang Su, Fangyuan Hu, Jianning Lu, Youheng Yu, Ziqi Liu, Pinghua Yang, Zhangjun Cheng

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Shoreline Change Sensitivity in The Kocasu Stream Delta and The Future (2033 and 2043) Shore Change Predictions by Sultan Murat Uzun

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Locus coeruleus tonic upregulation increases selectivity to inconspicuous auditory information in autistic compared to non-autistic individuals: a combined pupillometry and electro... by Nico Bast, Jumana Ahmad, Luke Mason, Emily J. H. Jones, Magdalena Matyjek, Leonie Polzer, Christina Luckhardt, Anna Katharina Müller, Grainne M. McAlonan, Tobias Banaschewski, Sarah Baumeister, Eva Loth, Christine M. Freitag, The EU-AIMS LEAP group consists of

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Machine learning approaches for predicting the structural number of flexible pavements based on subgrade soil properties by Asadullah Ziar

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