Dynamic and interpretable deep learning model for predicting respiratory failure following cardiac surgery by Man Xu, Hao Liu, Anran Dai, Qilian Tan, Xinlong Zhang, Rui Ding, Chen Chen, Jianjun Zou, Yongjun Li, Yanna Si

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Development and validation of prediction models for death within 6 months after cardiac arrest by Jianping Lu, Jianping Lu, Yuqi Zeng, Yuqi Zeng, Nan Lin, Qinyong Ye, Qinyong Ye

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Immune regulation and prognostic prediction model establishment and validation of PSMB6 in lung adenocarcinoma by Haiyang Zhao, Haiyang Zhao, Haiyang Zhao, Haiyang Zhao, Kexin Luo, Kexin Luo, Kexin Luo, Kexin Luo, Meihan Liu, Meihan Liu, Meihan Liu, Meihan Liu, Yuanze Cai, Siman Liu, Shijuan Li, Yongsheng Zhao, Yongsheng Zhao, Yongsheng Zhao, Hongpan Zhang, Hongpan Zhang, Hongpan Zhang, Hongpan Zhang

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Risk factors for complications after infantile enterostomy: development of a clinical prediction model by Zhaolan Zeng, Zhaolan Zeng, Yanling Hu, Yanling Hu, Shulin Hou, Shulin Hou, Ru Yang, Ru Yang, Zeyao Shi, Zeyao Shi, Xiaowen Li, Xiaowen Li

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A preoperative pathological staging prediction model for esophageal cancer based on CT radiomics by Haojun Li, Shuoming Liang, Mengxuan Cui, Weiqiu Jin, Xiaofeng Jiang, Simiao Lu, Jicheng Xiong, Hainan Chen, Ziwei Wang, Guotai Wang, Jiming Xu, Linfeng Li, Yao Wang, Haomiao Qing, Yongtao Han, Xuefeng Leng

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Pregnancy probability prediction models based on 5 machine learning algorithms and comparison of their performance by REN Chao, REN Chao, YANG Huan, ZHOU Niya, ZHOU Niya

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Winter Wheat Nitrogen Content Prediction and Transferability of Models Based on UAV Image Features by Jing Zhang, Gong Cheng, Shaohui Huang, Junfang Yang, Yunma Yang, Suli Xing, Jingxia Wang, Huimin Yang, Haoliang Nie, Wenfang Yang, Kang Yu, Liangliang Jia

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Analysis of risk factors for sepsis-related liver injury and construction of a prediction model by Yong He, Yong He, Yong He, Chi Wang, Chi Wang, Chi Wang, Wan He, Wan He, Wan He, He Zhang, He Zhang, He Zhang, Fei Ding, Fei Ding, Fei Ding, Ying Liu, Ying Liu, Ying Liu, He He, He He, He He, Binwu Ying, Binwu Ying, Binwu Ying, Xin Nie, Xin Nie, Xin Nie, Xin Nie

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Development and validation of a prediction model based on a nomogram for tuberculous pleural effusion by Suli Liu, Suli Liu, Yao Yang, Yao Yang, Dongmei Wang, Lijuan Gao, Lijuan Gao, Jiangyue Qin, Jiangyue Qin, Yanqiu Wu, Yanqiu Wu, Diandian Li, Diandian Li, Xiaohua Li, Mei Chen, Hao Wang, Hao Wang, Yongchun Shen, Yongchun Shen, Fuqiang Wen, Fuqiang Wen, Fangying Chen

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Comparison between the EKFC-equation and machine learning models to predict Glomerular Filtration Rate by Felipe Kenji Nakano, Anna Åkesson, Jasper de Boer, Klest Dedja, Robbe D’hondt, Fateme Nateghi Haredasht, Jonas Björk, Marie Courbebaisse, Lionel Couzi, Natalie Ebert, Björn O. Eriksen, R. Neil Dalton, Laurence Derain-Dubourg, Francois Gaillard, Cyril Garrouste, Anders Grubb, Lola Jacquemont, Magnus Hansson, Nassim Kamar, Christophe Legendre, Karin Littmann, Christophe Mariat, Toralf Melsom, Lionel Rostaing, Andrew D. Rule, Elke Schaeffner, Per-Ola Sundin, Arend Bökenkamp, Ulla Berg, Kajsa Åsling-Monemi, Luciano Selistre, Anders Larsson, Ulf Nyman, Antoine Lanot, Hans Pottel, Pierre Delanaye, Celine Vens

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Clinical ocular prediction model of postoperative ametropic amblyopia in patients with congenital ectopia lentis by Xinyue Wang, Xinyue Wang, Xinyue Wang, Xinyue Wang, Linghao Song, Linghao Song, Linghao Song, Yan Liu, Yan Liu, Yan Liu, Qiuyi Huo, Qiuyi Huo, Qiuyi Huo, Yang Sun, Yang Sun, Yang Sun, Zexu Chen, Zexu Chen, Zexu Chen, Wannan Jia, Wannan Jia, Wannan Jia, Xin Shen, Xin Shen, Xin Shen, Yalei Wang, Yalei Wang, Yalei Wang, Xinyao Chen, Xinyao Chen, Xinyao Chen, Tianhui Chen, Tianhui Chen, Tianhui Chen, Yongxiang Jiang, Yongxiang Jiang, Yongxiang Jiang, Rui Wang

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Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts by Kristen D. Brantley, Michael E. Jones, Rulla M. Tamimi, Bernard A. Rosner, Peter Kraft, Hazel B. Nichols, Katie M. O’Brien, Hans-Olov Adami, Amaia Aizpurua, Amy Berrington de González, William J. Blot, Tonje Braaten, Yu Chen, Jessica Clague DeHart, Laure Dossus, Sjoerd Elias, Renée T. Fortner, Montserrat Garcia-Closas, Inger T. Gram, Niclas Håkansson, Susan E. Hankinson, Cari M. Kitahara, Woon-Puay Koh, Martha S. Linet, Robert J. MacInnis, Giovanna Masala, Lene Mellemkjær, Roger L. Milne, David C. Muller, Hannah Lui Park, Kathryn J. Ruddy, Sven Sandin, Xiao-Ou Shu, Sandar Tin Tin, Thérèse Truong, Celine M. Vachon, Lars J. Vatten, Kala Visvanathan, Elisabete Weiderpass, Walter Willett, Alicja Wolk, Jian-Min Yuan, Wei Zheng, Dale P. Sandler, Minouk J. Schoemaker, Anthony J. Swerdlow, A. Heather Eliassen

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Long-Term Retrospective Predicted Concentration of PM_2.5 in Upper Northern Thailand Using Machine Learning Models by Sawaeng Kawichai, Patumrat Sripan, Amaraporn Rerkasem, Kittipan Rerkasem, Worawut Srisukkham

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Identifying species traits that predict vulnerability to climate change by Damien A. Fordham

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Including the Past: Performance Modeling Using a Preload Concept by Means of the Fitness-Fatigue Model by Ludwig Melanie, Asteroth Alexander, Rasche Christian, Pfeiffer Mark

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Predicting breast cancer recurrence using deep learning by Deepa Kumari, Mutyala Venkata Sai Subhash Naidu, Subhrakanta Panda, Jabez Christopher

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Machine Learning for Non-Destructive Prediction of Sunflower Leaf Area by Joao Everthon da Silva Ribeiro, Antonio Gideilson Correia da Silva, Pablo Henrique de Almeida Oliveira, Josiana Micarla da Silva Oliveira, Alessandra Nunes da Silva, John Victor Lucas Lima, Ivan Euzebio da Silva, Ester Dos Santos Coelho, Isaque de Oliveira Leite, Elania Freire da Silva, Toshik Iarley da Silva, Lindomar Maria da Silveira, Aurelio Paes Barros Junior

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Gut microbiota as a predictive tool for outcomes in IgA nephropathy by Yijun Dong, Ge Yan, Yiding Zhang, Yukun Zhou, Jin Shang

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A novel hybrid model based on MPA-VMD, QRMGM and KDE for carbon price prediction by Dabin Zhang, Yufeng Ye, Yongmei Fang, Jing Zhou

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Development of regional mixed-effects height–diameter models for natural black pine stands by Ramazan Ozçelik, Onur Alkan

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