Research Progress and Technology Outlook of Deep Learning in Seepage Field Prediction During Oil and Gas Field Development by Tong Wu, Qingjie Liu, Yueyue Wang, Ying Xu, Jiale Shi, Yu Yao, Qiang Chen, Jianxun Liang, Shu Tang

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Predicting of the risk of major cardiovascular events developing in patients with chronic obstructive pulmonary disease in combination with renal dysfunction by E. V. Bolotova, V. V. Yavlyanskaya, A. V. Dudnikova

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Prediction of causal genes at GWAS loci with pleiotropic gene regulatory effects using sets of correlated instrumental variables. by Mariyam Khan, Adriaan-Alexander Ludl, Sean Bankier, Johan L M Björkegren, Tom Michoel

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An efficient patient’s response predicting system using multi-scale dilated ensemble network framework with optimization strategy by Nalini Manogaran, Nirupama Panabakam, Durai Selvaraj, Koteeswaran Seerangan, Firoz Khan, Shitharth Selvarajan

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Transient Overvoltage Prediction Method for Renewable Energy Stations via Knowledge-Embedded Enhanced Deep Neural Network by Guangyao Wang, Jun Liu, Jiacheng Liu, Yuting Li, Tianxiao Mo, Sheng Ju

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Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques by Negin Ashrafi, Armin Abdollahi, Kamiar Alaei, Maryam Pishgar

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Household tobacco smoke and admission weight predict severe bronchiolitis in infants independent of deprivation: prospective cohort study. by Malcolm G Semple, David C Taylor-Robinson, Steven Lane, Rosalind L Smyth

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Integrating electronic health records and GWAS summary statistics to predict the progression of autoimmune diseases from preclinical stages by Chen Wang, Havell Markus, Avantika R. Diwadkar, Chachrit Khunsriraksakul, Laura Carrel, Bingshan Li, Xue Zhong, Xingyan Wang, Xiaowei Zhan, Galen T. Foulke, Nancy J. Olsen, Dajiang J. Liu, Bibo Jiang

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Neutrophil-to-lymphocyte ratio as a potential biomarker in predicting in-stent restenosis: A systematic review and meta-analysis. by Paulus Parholong Siahaan, Wynne Widiarti, Pandit Bagus Tri Saputra, Rendra Mahardhika Putra, Mario D'Oria

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DCE-MRI radiomics of primary breast lesions combined with ipsilateral axillary lymph nodes for predicting efficacy of NAT by Yiyao Sun, Qingxuan Liao, Ying Fan, Chunxiao Cui, Yan Wang, Chunna Yang, Yang Hou, Dan Zhao

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Nomograms to predict the long‐time prognosis in patients with alpha‐fetoprotein negative hepatocellular carcinoma following radical resection by Jian Huang, Fu‐Chen Liu, Li Li, Wei‐Ping Zhou, Bei‐Ge Jiang, Ze‐Ya Pan

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Soluble ST2 does not change cardiovascular risk prediction compared to cardiac troponin T in kidney transplant candidates. by Mira T Keddis, Ziad El-Zoghby, Bruce Kaplan, Jeffrey W Meeusen, Leslie J Donato, Fernando G Cosio, D Eric Steidley

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Combined evaluation of geriatric nutritional risk index and modified creatinine index for predicting functional dependence in patients on Hemodialysis by Rong Ni, Peng Qian, Ci Sun, Yusheng Xu, Kai Song, Weiwei Li

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Advances in the application of machine learning technology in the field of environmental health by ZHENG Yu, LI Cheng, HU Guiping, JIA Guang

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Conformal deep forest for uncertainty-aware classification by Jing Zhang, Yunfei Qiu, Libo Dong

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Recent Trends and Advances in Utilizing Digital Image Processing for Crop Nitrogen Management by Bhashitha Konara, Manokararajah Krishnapillai, Lakshman Galagedara

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Genome-Wide Analysis and Genomic Prediction of Chilling Tolerance of Maize During Germination Stage Using Genotyping-by-Sequencing SNPs by Shiliang Cao, Tao Yu, Gengbin Yang, Wenyue Li, Xuena Ma, Jianguo Zhang

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Non-Invasive Optoelectronic System for Color-Change Detection in Oranges to Predict Ripening by Using Artificial Neural Networks by J. D. Filoteo-Razo, J. C. Elizondo-Leal, J. R. Martinez-Angulo, J. H. Barron-Zambrano, A. Diaz-Manriquez, V. P. Saldivar-Alonso, J. M. Estudillo-Ayala, R. Rojas-Laguna

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Interaction-Temporal GCN: A Hybrid Deep Framework For Covid-19 Pandemic Analysis by Zehua Yu, Xianwei Zheng, Zhulun Yang, Bowen Lu, Xutao Li, Maxian Fu

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AVP-GPT2: A Transformer-Powered Platform for De Novo Generation, Screening, and Explanation of Antiviral Peptides by Huajian Zhao, Gengshen Song

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