TRANS: a prediction model for EGFR mutation status in NSCLC based on radiomics and clinical features by Zhigang Chen, Huiying Lu, Ao Liu, Jia Weng, Lei Gan, Lina Zhou, Xiao Ding, Shicheng Li

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Development and validation of a risk prediction model for feeding intolerance in neurocritical patients with enteral nutrition by Rong Yuan, Lei Liu, Jiao Mi, Xue Li, Fang Yang, Shifang Mao

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Development and validation of a risk prediction model for diabetic kidney disease in patients with diabetic retinopathy by Mengsha Yin, Wenke Dong, Linan Ren, Mingyue Han, Guixia Wang, Yao Wang, Xiaokun Gang

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Understanding and predicting flossing behavior in a rural Appalachian community using the multi-theory model by Rahib K. Islam, Manoj Sharma, Amanda H. Wilkerson, Bradford Layman, Clyde Dunn, Shamima A. Somi, Ratnesh Sharma, Karen Gruszynski, Syed S. Quadri, Vinayak K. Nahar, Robert E. Davis

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Reporting of Fairness Metrics in Clinical Risk Prediction Models Used for Precision Health: Scoping Review by Lillian Rountree, Yi-Ting Lin, Chuyu Liu, Maxwell Salvatore, Andrew Admon, Brahmajee Nallamothu, Karandeep Singh, Anirban Basu, Fan Bu, Bhramar Mukherjee

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Application of Artificial Intelligence Models to Predict the Onset or Recurrence of Neovascular Age-Related Macular Degeneration by Francesco Saverio Sorrentino, Marco Zeppieri, Carola Culiersi, Antonio Florido, Katia De Nadai, Ginevra Giovanna Adamo, Marco Pellegrini, Francesco Nasini, Chiara Vivarelli, Marco Mura, Francesco Parmeggiani

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Development and validation of a machine learning model for predicting pulmonary metastasis in hepatocellular carcinoma patients by Gangfeng Zhu, Qiang Yi, Rui Xu, Yi Xie, Siying Chen, Yipeng Song, Yi Xiang, Xiangcai Wang, Li Huang

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Risk factor screening and prediction modeling of gastrointestinal adverse reactions caused by GLP-1RAs by Rui Gao, Yue Li, Yue Li, Anan Li, Penglin Zhou, Huiying Zong, Yan Li

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Novel integrative models to predict the severity of inflammation and fibrosis in patients with drug-induced liver injury by Yue Zhang, Chuan Lu, Jingying Xu, Qiqi Ma, Mei Han, Li Ying

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Incorporating genotype information in a precise prediction model for platinum sensitivity in epithelial ovarian cancer by Nai-Yi Du, Yan Li, Hui Zheng, Ya-Kun Liu, Lu-Sha Liu, Jianbang Xie, Shan Kang

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Research on rock fracture evolution prediction model based on Adam-ConvLSTM and transfer learning by Runze Liu, Ziwei Wang, Yanbo Zhang, Xulong Yao, Shaohong Yan, Zhiyuan Chen, Shuai Wang, Hua Li, Qi Wang

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The application of super-resolution ultrasound radiomics models in predicting the failure of conservative treatment for ectopic pregnancy by Mingyan Zhang, Junfa Sheng

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Research on deep learning model for stock prediction by integrating frequency domain and time series features by Wenjie Sun, Jianhua Mei, Shengrui Liu, Chunhong Yuan, Jiaxuan Zhao

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Development of an explainable machine learning model for predicting device-related pressure injuries in clinical settings by Yijie Qian, Hongying Pan, Jun Chen, Hongyang Hu, Mei Fang, Chen Huang, Yihong Xu, Yang Gao

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PlantDeepMeth: A Deep Learning Model for Predicting DNA Methylation States in Plants by Zhongwei Guo, Wenyuan Fan, Chengcheng Cai, Kang Zhang, Xilin Hou, Ying Li, Feng Cheng

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Predicting Mortality in Low-Income Country ICUs: The Rwanda Mortality Probability Model (R-MPM). by Elisabeth D Riviello, Willy Kiviri, Robert A Fowler, Ariel Mueller, Victor Novack, Valerie M Banner-Goodspeed, Julia L Weinkauf, Daniel S Talmor, Theogene Twagirumugabe

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A Novel Depression Risk Prediction Model Using NHANES Data With Mendelian Randomization Validation by Lin Lin, Liqun Zhang, Jingdong Zhang, Dapeng Ding

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Novel machine learning models for the prediction of acute respiratory distress syndrome after liver transplantation by Weijie Wu, Weijie Wu, Zheng Zhang, Shuailei Wang, Ru Xin, Dong Yang, Weifeng Yao, Ziqing Hei, Chaojin Chen, Gangjian Luo

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Development of a clinical prediction model for diabetic peripheral neuropathy with type 2 diabetes mellitus by OUYANG Bilu, WANG Guoqiang, WANG Mengmeng, WANG Xiuge

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Using Monte Carlo conformal prediction to evaluate the uncertainty of deep-learning soil spectral models by Y.-C. Huang, J. Padarian, B. Minasny, A. B. McBratney

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