Risk factors and prediction models for recurrent acute ischemic stroke: a retrospective analysis by Liuhua Ke, Hongyu Zhang, Kang Long, Zheng Peng, Yongjun Huang, Xingxuan Ma, Wanjun Wu

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Deep Multiple Instance Learning Model to Predict Outcome of Pancreatic Cancer Following Surgery by Caroline Truntzer, Dina Ouahbi, Titouan Huppé, David Rageot, Alis Ilie, Chloe Molimard, Françoise Beltjens, Anthony Bergeron, Angelique Vienot, Christophe Borg, Franck Monnien, Frédéric Bibeau, Valentin Derangère, François Ghiringhelli

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Ultrasound feature-based nomogram model for predicting extrathyroidal extension in papillary thyroid carcinoma by Dong Guo, Chen Chen, Yin Zheng, Yue Shan, Shifei Huang, Tianhan Zhou, Yefei Yao, Zhengxian Zhang, Lu Wang, Dong Xu

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A Multi-Head Attention-Based Transformer Model for Predicting Causes in Aviation Incidents by Aziida Nanyonga, Hassan Wasswa, Keith Joiner, Ugur Turhan, Graham Wild

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Back Propagation Neural Network model for analysis of hyperspectral images to predict apple firmness by Shuiping Li, Yueyue Chen, Xiaobo Zhang, Junbo Wang, Xuanxiang Gao, Yunhong Jiang, Zhaojun Ban, Cunkun Chen

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Mixed-effects neural network modelling to predict longitudinal trends in fasting plasma glucose by Qiong Zou, Borui Chen, Yang Zhang, Xi Wu, Yi Wan, Changsheng Chen

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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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AMFGNN: an adaptive multi-view fusion graph neural network model for drug prediction by Fang He, Fang He, Fang He, Fang He, Lian Duan, Lian Duan, Lian Duan, Lian Duan, Guodong Xing, Guodong Xing, Guodong Xing, Guodong Xing, Xiaojing Chang, Xiaojing Chang, Xiaojing Chang, Xiaojing Chang, Huixia Zhou, Huixia Zhou, Huixia Zhou, Huixia Zhou, Mengnan Yu, Mengnan Yu, Mengnan Yu, Mengnan Yu

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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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Construction of geriatric hypoalbuminemia predicting model for hypoalbuminemia patients with and without pneumonia and explainability analysis by Ziqi Liu, Ziqi Liu, Qi Kang, Zhilong Mi, Zhilong Mi, Yuan Yuan, Tiantian Sang, Binghui Guo, Binghui Guo, Binghui Guo, Zhiming Zheng, Zhiming Zheng, Zhiming Zheng, Ziqiao Yin, Ziqiao Yin, Ziqiao Yin, Ziqiao Yin, Wei Tian

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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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Title not available by Iollo, Angelo, Taddei, Tommaso

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Optimizing UHPECC properties using MAA-based particle packing techniques with SCMs by Priyanka K., Suganya O. M.

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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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