Development of a model for mathematical prediction of the course of the disease in patients with nasal furunculosis by D.S. Samusenko, M.M. Popov, O.V. Martynenko

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Construction and application of optimized model for mine water inflow prediction based on neural network and ARIMA model by Xiaoyu Gong, Bo Li, Yu Yang, MengHua Li, Tao Li, Beibei Zhang, Lulin Zheng, Hongfei Duan, Pu Liu, Xin Hu, Xin Xiang, Xinju Zhou

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Developing new machine-learning intelligent models to predict the excavation-tunnel displacements by Abdollah Tabaroei, Muhand Jawad Jasim, Ali Mohammed Al-Araji, Amir Hossein Vakili

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An Innovative Dynamic Model for Predicting Typhoon Track Deflections over Complex Terrain by Hung-Cheng Chen

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Outcome prediction model for patients with unresectable hepatocellular carcinoma treated with targeted therapy by Qiang Ruan, Xiaohui Wang, Qiang Li, Yu Tao, Yang Xun, Hua Yang, Han Zhao, Jinfeng Lu, Dazhi Yang, Yifan Chen, Li Wei

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A score prediction model for predicting the heterogeneity symptom trajectories among lung cancer patients during perioperative period: a longitudinal observational study by Yong Yang, Xueqi Tian, Huiling Zhou, Yichao Wang, Yifeng Gu, Ao Qi, Decai Wang, Zhiying Wang, Yabin Gong, Lijing Jiao, Ling Xu

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Meteorological and satellite-based data for drought prediction using data-driven model by ALI H. AHMED SULIMAN

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A comprehensive model for concrete strength prediction using advanced learning techniques by Sagar Dhengare, Udaykumar Waghe, Ganesh Yenurkar, Anjana Shyamala

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Stroke Lesion Prediction by Bille-Viper-Segmentation with Tandem-MU-net Model by Beevi Fathima, N Santhi Dr, N Ramasamy Dr

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Development and validation of a carotid plaque risk prediction model for coal miners by Yi-Chun Li, Yi-Chun Li, Yi-Chun Li, Tie-Ru Zhang, Tie-Ru Zhang, Tie-Ru Zhang, Fan Zhang, Fan Zhang, Fan Zhang, Chao-Qun Cui, Chao-Qun Cui, Chao-Qun Cui, Yu-Tong Yang, Yu-Tong Yang, Yu-Tong Yang, Jian-Guang Hao, Jian-Ru Wang, Jiao Wu, Hai-Wang Gao, Ying-Bo Liu, Ming-Zhong Luo, Li-Jian Lei, Li-Jian Lei, Li-Jian Lei

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Advanced Trans-BiGRU-QA Fusion Model for Atmospheric Mercury Prediction by Dong-Her Shih, Feng-I. Chung, Ting-Wei Wu, Bo-Hao Wang, Ming-Hung Shih

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Enhancing Genomic Prediction Accuracy with a Single-Step Genomic Best Linear Unbiased Prediction Model Integrating Genome-Wide Association Study Results by Zhixu Pang, Wannian Wang, Pu Huang, Hongzhi Zhang, Siying Zhang, Pengkun Yang, Liying Qiao, Jianhua Liu, Yangyang Pan, Kaijie Yang, Wenzhong Liu

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Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective S... by Chun-Chi Lai, Cheng-Yu Chen, Tzu-Hao Chang

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Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study by Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joseph Sexton, Giulia Malachin, Guro Goll, Tore K. Kvien, Tore K. Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Espen A. Haavardsholm, Bjørn Steen Skålhegg

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Predicting infections with multidrug-resistant organisms (MDROs) in neurocritical care patients with hospital-acquired pneumonia (HAP): development of a novel multivariate predicti... by Lin Yang, Guangyu Lu, Haiqing Diao, Yang Zhang, Zhiyao Wang, Xiaoguang Liu, Qiang Ma, Hailong Yu, Yuping Li

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Construction and validation of frailty risk prediction model in elderly patients with colorectal cancer by Yuxiao Xia, Mengzhang He, Yiqun Guo, Fenghua Zhang, Xiongting Wu, Rong Chen, Linli Duan, Fang Chen, Xuewei Yang, Xiuli Feng

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Digital generation in the context of predicting the professional future by E. F. Zeer, N. G. Tserkovnikova, V. S. Tretyakova

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Factors predicting the resilience of school re-integrated teenage mothers in Zimbabwe by Taruvinga Muzingili

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Explainable machine learning and online calculators to predict heart failure mortality in intensive care units by An‐Tian Chen, Yuhui Zhang, Jian Zhang

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Comprehensive propagation of errors for the prediction of woody biomass by Stephen H. Roxburgh, Keryn I. Paul

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