Machine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients by Cao Shaoshan, Chen Niannian, Ma Ying

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Prediction of spatiotemporal evolution and zoning of ecological sensitivity in the upper reaches of Minjiang river, sichuan, China by Lingfan Ju, Yan Liu, Shunduo Liu, Qing Xiang, Wenkai Hu, Peng Yu

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Value of incorporating newly identified risk factors into risk prediction for chemotherapy‐induced febrile neutropenia by Yanli Li, Leila Family, Lie H. Chen, John H. Page, Zandra Klippel, Lanfang Xu, Chun R. Chao

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Analysis of prognostic factors and risk prediction in brain metastases: a SEER population-based study by Qiang Ji, Qiang Ji, Zixuan Yang, Zixuan Yang, Xun Kang, Lili Zhou, Feng Chen, Wenbin Li, Wenbin Li

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A novel telomere-associated genes signature for the prediction of prognosis and treatment responsiveness of hepatocellular carcinoma by Kuo Kang, Hui Nie, Weilu Kuang, Xuanxuan Li, Yangying Zhou

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Chronic Kidney Disease Prediction Based On Machine Learning Algorithms by Kethineni Likitha., Nithinchandra, Kumar Narendra, Sk Sajida Sultana.

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Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data fro... by Simon Gilbody, Dean McMillan, Bob Phillips, Kym I E Snell, Richard D Riley, David A Richards, Jaime Delgadillo, Shehzad Ali, Chris Salisbury, Lewis W Paton, Lucinda Archer, Peter A Coventry, Stephen Pilling, Andrew S Moriarty, Joshua E J Buckman, Nick Meader, Carolyn A Chew Graham

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In Silico tool for predicting, designing and scanning IL-2 inducing peptides by Naman Kumar Mehta, Anjali Lathwal, Rajesh Kumar, Dilraj Kaur, Gajendra P. S. Raghava

“…To assist the scientific community, we have integrated the best models from this study into a standalone software and web server, IL2pred, which enables users to predict, scan, and design IL-2-inducing peptides ( https://webs.iiitd.edu.in/raghava/il2pred/ ).…”
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A dynamic adaptive graph convolutional recurrent network model for efficient mid-short term prediction of global sea surface salinity by Guangwen Peng, Yingbing Liu, Cong Xiao, Wenying Du, Changjiang Xiao

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Using Hybrid Neural Networks to Improve Traffic Prediction and Congestion Management by Ali Abd Samir

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Multi-Sensor Heterogeneous Signal Fusion Transformer for Tool Wear Prediction by Ju Zhou, Xinyu Liu, Qianghua Liao, Tao Wang, Lin Wang, Pin Yang

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Optimal Postprocessing Strategies With LSTM for Global Streamflow Prediction in Ungauged Basins by Senlin Tang, Fubao Sun, Wenbin Liu, Hong Wang, Yao Feng, Ziwei Li

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Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis by Qiqi Yan, Guiling Liu, Ruifeng Wang, Dandan Li, Xiaoli Chen, Jingjing Cong, Deguang Wang

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Early prediction of sepsis-induced cardiorenal syndrome: superiority of myoglobin over troponin I by Yiguo Liu, Chao Zheng, Xi Liu, Xiao-qin Zhang, Yingying Zhang, Chen Yu

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Machine learning algorithms to predict epidural-related maternal fever: a retrospective study by Xiaohui Guo, Xiaohui Guo, Xiaohui Guo, Haixia Zhang, Haixia Zhang, Haixia Zhang, Hongliang Mei, Hongliang Mei, Hongliang Mei

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Enhancing breast cancer prediction through stacking ensemble and deep learning integration by Fatih Gurcan

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The Historical Evolution and Significance of Multiple Sequence Alignment in Molecular Structure and Function Prediction by Chenyue Zhang, Qinxin Wang, Yiyang Li, Anqi Teng, Gang Hu, Qiqige Wuyun, Wei Zheng

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Prediction of Surface Deformation Induced by Ultra-Shallow-Buried Pilot Tunnel Construction by Caijun Liu, Xiangdong Li, Yang Yang, Xing Gao, Yupeng Shen, Peng Jing

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MaxEnt Modeling of Future Habitat Shifts of <i>Itea yunnanensis</i> in China Under Climate Change Scenarios by Jinxin Zhang, Xiaoju Li, Suhang Li, Qiong Yang, Yuan Li, Yangzhou Xiang, Bin Yao

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Predicting diabetic retinopathy based on routine laboratory tests by machine learning algorithms by Xiaohua Wan, Ruihuan Zhang, Yanan Wang, Wei Wei, Biao Song, Lin Zhang, Yanwei Hu

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