Prediction of Temperature Using SDSM Multiple Linear Models (Case Study: Hoor al-Azim and Miangaran Wetlands) by Mansour Chatrenour, Nasrin Moradimajd, Bahare Delsouz Khaki, Mir Naser Navidi, Naser Davatgar

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Enhanced machine learning models for predicting three-year mortality in Non-STEMI patients aged 75 and above by Jing Zhang, Wuyu Xiong, Chengzhi Zhang, Cuiyuan Huang, Wenqiang Li, Li Liu, Wei Wang, Ye Sang, Huiling Zhen, Caiwei Tan, Jiajuan Yang, Jian Yang

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Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study by Wei Jiang, Yaosheng Zhang, Jiayi Weng, Lin Song, Siqi Liu, Xianghui Li, Shiqi Xu, Keran Shi, Luanluan Li, Chuanqing Zhang, Jing Wang, Quan Yuan, Yongwei Zhang, Jun Shao, Jiangquan Yu, Ruiqiang Zheng

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Predicting postoperative malnutrition in patients with oral cancer: development of an XGBoost model with SHAP analysis and web-based application by Lixia Kuang, Lixia Kuang, Jingya Yu, Yunyu Zhou, Yu Zhang, Yu Zhang, Guangman Wang, Guangman Wang, Fangmin Zhang, Grace Paka Lubamba, Grace Paka Lubamba, Xiaoqin Bi, Xiaoqin Bi

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Radiomic Model Associated with Tumor Microenvironment Predicts Immunotherapy Response and Prognosis in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma by Jie Sun, Xuewei Wu, Xiao Zhang, Weiyuan Huang, Xi Zhong, Xueyan Li, Kaiming Xue, Shuyi Liu, Xianjie Chen, Wenzhu Li, Xin Liu, Hui Shen, Jingjing You, Wenle He, Zhe Jin, Lijuan Yu, Yuange Li, Shuixing Zhang, Bin Zhang

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Transfer learning radiomic model predicts intratumoral tertiary lymphoid structures in hepatocellular carcinoma: a multicenter study by Juan Chen, Xiong Chen, Kai Fu, Feng Yi, Shichao Long, Mengsi Li, Linhui Zhong, Wenguang Liu, Deng Pan, Ganmian Dai, Wenzheng Li, Yue Ruan, Bocheng Zou

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Prediction model of ocular metastasis from primary liver cancer: Machine learning‐based development and interpretation study by Jin‐Qi Sun, Shi‐Nan Wu, Zheng‐Lin Mou, Jia‐Yi Wen, Hong Wei, Jie Zou, Qing‐Jian Li, Zhao‐Lin Liu, San Hua Xu, Min Kang, Qian Ling, Hui Huang, Xu Chen, Yi‐Xin Wang, Xu‐Lin Liao, Gang Tan, Yi Shao

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Developing an Uncrewed Aerial Vehicle (UAV)-Based Prediction Model for the Rice Harvest Index Using Machine Learning by Zhaoyang Pan, Zhanhua Lu, Liting Zhang, Wei Liu, Xiaofei Wang, Shiguang Wang, Hao Chen, Haoxiang Wu, Weicheng Xu, Youqiang Fu, Xiuying He

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Deep learning-based multi-omics model to predict nasopharyngeal necrosis of re-irradiation for recurrent nasopharyngeal carcinoma by Xingwang Gao, Xingwang Gao, Xingwang Gao, Yinglin Peng, Shanfu Lu, Yuhan An, Meining Chen, Jun Zhang, Runda Huang, Yiran Wang, Zhenyu Qi, Yao Lu, Chong Zhao, Xiaowu Deng, Jingjing Miao, Yimei Liu

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Risk Prediction Model for High Myopia in Primary and Secondary School Students: Based on Nested Case-control Study by CHEN Shenglan, ZHENG Yongtao, HU Wangcheng, NI Zuowei, XIA Bing, YE Chunmei, DU Chixin, CHEN Xiaodan

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Machine learning-based prediction model for lung ischemia-reperfusion injury: insights from disulfidptosis-related genes by Yanpeng Zhang, Yanpeng Zhang, Yanpeng Zhang, Jingyang Sun, Jingyang Sun, Jingyang Sun, Yihan Lin, Yihan Lin, Yihan Lin, Rongxuan Jiang, Rongxuan Jiang, Rongxuan Jiang, Niuniu Dong, Niuniu Dong, Niuniu Dong, Huanhuan Dong, Huanhuan Dong, Huanhuan Dong, Peng Li, Peng Li, Peng Li, Jinteng Feng, Jinteng Feng, Jinteng Feng, Zijiang Zhu, Guangjian Zhang, Guangjian Zhang, Guangjian Zhang

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Combining biomarkers to predict the disease activity of graves’ ophthalmopathy: a combinatory model of the NLR, TRAb and FT4 by Tongxin Niu, Tongxin Niu, Tongxin Niu, Lujue Wang, Lujue Wang, Lujue Wang, Jing Deng, Jing Deng, Jing Deng, Yuxian Shi, Yuxian Shi, Yuxian Shi, Yating Liu, Yating Liu, Yating Liu, Boding Tong, Boding Tong, Boding Tong, Xin Qi, Xin Qi, Xin Qi, Dan Cao, Dan Cao, Dan Cao, Yunping Li, Yunping Li, Yunping Li

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Development and validation of a prediction model for early recurrence in upper tract urothelial carcinoma treated with radical nephroureterectomy by Yi-Ju Chou, Hao-Lun Luo, Hung-Jen Wang, Steven K. Huang, Yu-Che Hsieh, Wen-Jeng Wu, Ching-Chia Li, Han-Yu Weng, Ta-Yao Tai, Chao-Hsiang Chang, Hsi-Chin Wu, Po-Hung Lin, Jacob See-Tong Pang, Chung-Hsin Chen, Jian-Hua Hong, Jen-Shu Tseng, Marcelo Chen, I-Hsuan Alan Chen, Chia-Cheng Yu, Pi-Che Chen, Ian-Seng Cheong, Chung-You Tsai, Pai-Yu Cheng, Yuan-Hong Jiang, Yu-Khun Lee, Shian-Shiang Wang, Chuan-Shu Chen, Thomas Y. Hsueh, Wei-Chieh Chen, Chia-Chang Wu, Yung-Tai Chen, Wei-Yu Lin, Richard Chen-Yu Wu, Chi-Wen Lo, Marco Moschini, Francesco Soria, Ekaterina Laukhtina, Tamás Fazekas, Marcin Chlosta, Jeremy Yuen-Chun Teoh, Shahrokh F. Shariat, Yao-Chou Tsai

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Prognostic utility of the global leadership initiative on malnutrition criteria in predicting outcomes after hepatectomy for hepatocellular carcinoma: a multicenter, retrospective... by Yaohao Liang, Yaohao Liang, Zhan Lu, Tianyu Ruan, Shanglin Wu, Jianyi Meng, Jianyi Meng, Jie Jiang, Jiaqian He, Liyan Jiang, Ning Tan, Shengqiang Tan

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PREdiction and Diagnosis using Imaging and Clinical biomarkers Trial in Traumatic Brain Injury (PREDICT-TBI) study protocol: an observational, prospective, multicentre cohort study... by Siva Senthuran, Lewis Campbell, Jennifer Fleming, Virginia Newcombe, Michael Reade, Silvia Manzanero, James Walsham, Nathan Brown, Xuan Vinh To, Clifford Pollard, Fatima Nasrallah, Judith Bellapart, Esther Jacobson, Jason Meyer, Janine Stuart, Tracey Evans, Shekhar S Chandra, Jason Ross, James McCullough

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Development of a Mathematical Model for Personalized Estimation of Life Expectancy in Ukraine by Vladyslav Malanin, Illya Chaykovsky

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Evaluating Global Machine Learning Models for Tropical Cyclone Dynamics and Thermodynamics by Pankaj Lal Sahu, Sukumaran Sandeep, Hariprasad Kodamana

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Stroke Dataset Modeling: Comparative Study of Machine Learning Classification Methods by Kalina Kitova, Ivan Ivanov, Vincent Hooper

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Investigation into the Hyperparameters of Error-Based Adaptive Sampling Approach for Surrogate Modeling by Leonid Legashev, Sergey Tolmachev, Irina Bolodurina, Alexander Shukhman, Lyubov Grishina

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Explainable Ensemble Learning Model for Residual Strength Forecasting of Defective Pipelines by Hongbo Liu, Xiangzhao Meng

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