A machine learning model for robust prediction of sepsis-induced coagulopathy in critically ill patients with sepsis by Jia Sun, Jia Sun, Lixin Zhang, Zhaotang Gong, Hongling Ma, Dan Wu, Rihan Wu, Guleng Siri, Guleng Siri

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Advancing shock prediction: leveraging prior knowledge and self-controlled data for enhanced model accuracy and generalizability by Cheng-Yu Tsai, Xiu-Rong Huang, Po-Tsun Kuo, Tzu-Tao Chen, Yun-Kai Yeh, Kuan-Yuan Chen, Arnab Majumdar, Chien-Hua Tseng

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An integrative histopathologic clustering model based on immuno‐matrix elements to predict the risk of death in malignant mesothelioma by Marcelo Luiz Balancin, Walcy Rosolia Teodoro, Cecilia Farhat, Tomas Jurandir deMiranda, Aline Kawassaki Assato, Neila Aparecida deSouza Silva, Ana Paula Velosa, Roberto Falzoni, Alexandre Muxfeldt Ab'Saber, Anja C. Roden, Vera Luiza Capelozzi

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Prediction of infected pancreatic necrosis in patients with acute necrotizing pancreatitis based on ensemble machine learning model by Zefang Sun, Yan Fu, Jiarong Li, Baiqi Liu, Xiaoyue Hong, Chiayen Lin, Dingcheng Shen, Caihong Ning, Lu Chen, Xiaoping Yi, Gengwen Huang

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An optimized ensemble ML-WQI model for reliable water quality prediction by minimizing the eclipsing and ambiguity issues by Ashifur Rahman, M. M. Mahbubul Syeed, Md. Rajaul Karim, Kaniz Fatema, Razib Hayat Khan, Mohammad Faisal Uddin

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Predicting mortality in intensive care unit patients with acute pancreatitis using an interpretable machine learning model by Li Zhuangli, Li Zhuangli, Zhang Xingcheng, Zhang Xiaoli, Lu Zhonghua, Sun Yun

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A web-based prediction model for brain metastasis in non-small cell lung cancer patients by Jianing Chen, Li Wang, Li Liu, Qi Wang, Jing Zhao, Xin Yu, Shiji Zhang, Chunxia Su

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Development of a machine learning-based prediction model for serious bacterial infections in febrile young infants by Jina Lee, Jong Seung Lee, Seak Hee Oh, Jun Sung Park, Reenar Yoo, Soo-young Lim, Dahyun Kim, Min Kyo Chun, Jeeho Han, Jeong-Yong Lee, Seung Jun Choi

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Combined clinical and MRI-based radiomics model for predicting acute hematologic toxicity in gynecologic cancer radiotherapy by Lumeng Luo, Lumeng Luo, Jiahao Wang, Jiahao Wang, Hongling Xie, Hongling Xie, Bingxin Chen, Bingxin Chen, Hui Wang, Hui Wang, Qiu Tang, Qiu Tang

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CT-based radiomics model to predict platinum sensitivity in epithelial ovarian carcinoma: a multicentre study by Mengge He, Rahul Singh, Mandi Wang, Grace Ho, Esther M. F. Wong, Keith W. H. Chiu, Anthony K. T. Leung, Ka Yu Tse, Philip P. C. Ip, Andy Hwang, Lujun Han, Elaine Y. P. Lee

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AI-powered model for predicting mortality risk in VA-ECMO patients: a multicenter cohort study by Shuai Wang, Sichen Tao, Ying Zhu, Qiao Gu, Peifeng Ni, Weidong Zhang, Chenxi Wu, Ruihan Zhao, Wei Hu, Mengyuan Diao

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Development and clinical validation of deep learning-based immunohistochemistry prediction models for subtyping and staging of gastrointestinal cancers by Junxiao Wang, Shiying Zhang, Jia Li, Mei Deng, Zhi Zeng, Zehua Dong, Fangfang Chen, Wen Liu, Lianlian Wu, Honggang Yu

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Prediction of the Trimer Protein Interface Residue Pair by CNN-GRU Model Based on Multi-Feature Map by Yanfen Lyu, Ting Xiong, Shuaibo Shi, Dong Wang, Xueqing Yang, Qihuan Liu, Zhengtan Li, Zhixin Li, Chunxia Wang, Ruiai Chen

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Prediction model for cytomegalovirus infection following hematopoietic stem cell transplantation in patients with β-thalassemia major by Lin Pan, Zhenbin Wei, Yanni Xie, Zhaoping Gan, Hongwen Xiao, Lianjin Liu, Lingling Shi, Zhongming Zhang, Meiqing Wu, Yinghua Chen, Yanye Liu, Xuemei Zhou, Chan Li, Chunjie Qin, Yongrong Lai, Rongrong Liu

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Construction and validation of a risk prediction model for lean metabolic dysfunction-associated steatotic liver disease by QIN Jiayi, ZHOU Xueqian, MENG Xiangyong

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Mortality prediction of heart transplantation using machine learning models: a systematic review and meta-analysis by Ida Mohammadi, Setayesh Farahani, Asal Karimi, Saina Jahanian, Shahryar Rajai Firouzabadi, Mohammadreza Alinejadfard, Alireza Fatemi, Bardia Hajikarimloo, Mohammadhosein Akhlaghpasand

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GNNs and ensemble models enhance the prediction of new sRNA-mRNA interactions in unseen conditions by Shani Cohen, Lior Rokach, Isana Veksler-Lublinsky

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A stacked ensemble machine learning model for the prediction of pentavalent 3 vaccination dropout in East Africa by Meron Asmamaw Alemayehu, Shimels Derso Kebede, Agmasie Damtew Walle, Daniel Niguse Mamo, Ermias Bekele Enyew, Jibril Bashir Adem

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To construct and validate a risk score model of angiogenesis-related genes to predict the prognosis of hepatocellular carcinoma by Duangui Gao, Yuan Lu, Tianpeng Jiang, Qinghong Duan, Zhi Huang

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Multi-machine learning model based on radiomics features to predict prognosis of muscle-invasive bladder cancer by Bin Wang, Zijian Gong, Peide Su, Guanghao Zhen, Tao Zeng, Yinquan Ye

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