A comprehensive machine learning-based models for predicting mixture toxicity of azole fungicides toward algae (Auxenochlorella pyrenoidosa) by Li-Tang Qin, Xue-Fang Tian, Jun-Yao Zhang, Yan-Peng Liang, Hong-Hu Zeng, Ling-Yun Mo

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Establishing the Partial Load Limits for Main Shaft Response Prediction in Wind Turbine Hybrid Nacelle Testing by Muhammad Omer Siddiqui, Amir R. Nejad, Jan Wenske

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DBN-MACTraj: Dynamic Bayesian Networks for Predicting Combinations of Long-Term Trajectories with Likelihood for Multiple Agents by Haonan Cui, Haolun Qi, Jianyu Zhou

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Serum LncRNA PSMB8-AS1 as a novel biomarker for predicting acute coronary syndrome by Hao Wang, Ziqiang Zhu, Fan Zhou, Wenhao Xin, Lei Yin

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Predicting and interpreting key features of refractory Mycoplasma pneumoniae pneumonia using multiple machine learning methods by Yuhan Jiang, Xu Wang, Li Li, Yifan Wang, Xuelin Wang, Yingxue Zou

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Nomogram-based prediction of the prognosis in patients with free floating venous thrombus after closed traumatic fracture by Yao Wei, Changxu Guo, Xiaoyu Chen, Yu Yuan

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A machine learning-based clinical predictive tool to identify patients at high risk of medication errors by Ammar Abdo, Lyse Gallay, Thibault Vallecillo, Justine Clarenne, Pauline Quillet, Vincent Vuiblet, Rudy Merieux

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A novel nomogram for predicting the morbidity of chronic atrophic gastritis based on serum CXCL5 levels by Bei Pei, Qin Sun, Yi Zhang, Ziang Wen, Wenjing Ding, Kairui Wu, Tingting Li, Xuejun Li

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Prediction of successful weaning from renal replacement therapy in critically ill patients based on machine learning by Qiqiang Liang, Xin Xu, Shuo Ding, Jin Wu, Man Huang

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Development and validation of a nomogram to predict survival in septic patients with heart failure in the intensive care unit by Tong Tong, Yikun Guo, Qingqing Wang, Xiaoning Sun, Ziyi Sun, Yuhan Yang, Xiaoxiao Zhang, Kuiwu Yao

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Development and validation of a nomogram to predict atelectasis in adult lymph node fistula tracheobronchial tuberculosis patients by Quhua Yin, Guojian Ou, Yi Zhou, Xiaojian Wen, Heping Huang, Jie Ling, Li Luo

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Wastewater-based effective reproduction number and prediction under the absence of shedding information by Hiroki Ando, Kelly A. Reynolds

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Innovative machine learning-based prediction of early airway hyperresponsiveness using baseline pulmonary function parameters by Hua Yang, Xingru Zhao, Zhuochang Chen, Lihong Yang, Guihua Zhao, Chenxiao Xu, Jinyi Xu

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BANSMDA: a computational model for predicting potential microbe-disease associations based on bilinear attention networks and sparse autoencoders by Xianzhi Liu, Mingmin Liang, Ge Yu, Shichang Tang, Ouxiang Wu, Bin Zeng, Lei Wang

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Research progress on the application of machine learning in inflammatory skin diseases by GUO Jingxue, LIU Yongsheng, YANG Xueying, LI Jiaojiao, LI Dan, LI Yiqun, LI Yanfei, ZHANG Junjing

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Modern models of teaching regional history at school by L. A. Urusmambetova

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Systematic exploration of the molecular characteristics of CD8+ T cells to predict the response to immunotherapy and the prognosis of patients with colon adenocarcinoma by Xin Shen, Lifeng Shang, Junwei Han, Yi Zhang, Wenkai Niu, Haiwang Liu, Hai Shi

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Predicting dengue incidence in high-risk areas of China through the integration of Southeast Asian and local meteorological factors by Shaowei Sang, Yiguan Wang, Qiyong Liu, Peng Chen, Chuanxi Li, Anran Zhang

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Predictive modeling of the mechanical behavior of 3D-printed polylactic acid/wood composite: Comparison of GEP and ANN methods by Abhijit Bhowmik, Raman Kumar, Ranganathaswamy M. K., Y. Karun Kumar, Priyaranjan Samal, Abinash Mahapatro, Abdulaziz N. Alhazaa, Valentin Romanovski, A. Johnson Santhosh

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Small-grid urban flood prediction model using Twitter data and population GPS data - an example of the 2019 Nagano city flood by Yifan Yang, Naoki Ohira, Hideomi Gokon

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