Evaluation of the A2B Score for Prediction of Survival in Patients With Heart Failure in a Nationwide Cohort in Japan by Atsushi Kyodo, Yasuki Nakada, Maki Nogi, Kazutaka Nogi, Satomi Ishihara, Tomoya Ueda, Takeshi Tohyama, Nobuyuki Enzan, Tomomi Ide, Shouji Matsushima, Hiroyuki Tsutsui, Yoshihiko Saito

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LASSO-derived nomogram prediction model for lymph node metastasis in colorectal cancer: a retrospective analysis by Xiyun Quan, Yi Deng, Zhimin Liu, Zhenqin Gao, Huimei Yi, Ming Li

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Assessment of the WRF model configuration optimization in predicting the heavy rainfall over urban city Bhubaneswar, India by Alugula Boyaj, N. R. Karrevula, Madhusmita Swain, P. Sinha, Raghu Nadimpalli, Sahidul Islam, V. Vinoj, Manoj Khare, Dev Niyogi, U. C. Mohanty

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Aircraft range fuel prediction study based on WPD with IAPO optimized BiLSTM–KAN model by Weizhen Tang, Jie Dai, Yuantai Li

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Validating and enhancing data-driven landslide susceptibility prediction by model explanation and MT-InSAR techniques by Miao Yu, Li Chen, Xuanmei Fan, Peifeng Ma, Shaojie Zhao, Zhongwang Wu, Fan Yang, Longwei Xu, Monan Shan, Xiao Xie, Haowei Zeng, Zhengjia Zhang

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Developing and validating a risk prediction model for caesarean delivery in Northwest Amhara comprehensive specialized hospitals by Mulat Ayele, Eyob Shitie Lake, Befkad Derese Tilahun, Gizachew Yilak, Abebaw Alamrew, Getinet Kumie, Tegene Atamenta Kitaw, Biruk Beletew Abate, Getnet Gedefaw Azeze, Nigus Bililign Yimer

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Predicting Quality of Life in People Living with HIV: A Machine Learning Model Integrating Multidimensional Determinants by Meilian Xie, Zhiyun Zhang, Yanping Yu, Li Zhang, Jieli Zhang, Dongxia Wu

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A CT-based radiomics model for predicting progression-free survival in patients with epithelial ovarian cancer by Yinping Leng, Jingjing Zhou, Wenjie Liu, Fengyuan Luo, Fei Peng, Lianggeng Gong

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Value of a diagnostic model based on composite inflammatory and nutritional indicators in predicting early colorectal cancer by LIU Xinyue, DING Xueli, YU Yanan, LIU Ailing, TIAN Zibin

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Stroma gene signature predicts responsiveness to chemotherapy in pancreatic ductal adenocarcinoma patient‐derived xenograft models by Alessia Anastasia, Laura Formenti, Paola Ostano, Lucia Minoli, Andrea Resovi, Lavinia Morosi, Claudia Fioravanti, Edoardo Micotti, Cristina Matteo, Eugenio Scanziani, Giovanna Chiorino, Raffaella Giavazzi, Carmen Ghilardi, Dorina Belotti

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Explainable, federated deep learning model predicts disease progression risk of cutaneous squamous cell carcinoma by Juan I. Pisula, Doris Helbig, Lucas Sancéré, Oana-Diana Persa, Corinna Bürger, Anne Fröhlich, Carina Lorenz, Sandra Bingmann, Dennis Niebel, Konstantin Drexler, Jennifer Landsberg, Roman Thomas, Katarzyna Bozek, Johannes Brägelmann

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Short-Term Prediction of Ship Heave Motion Using a PSO-Optimized CNN-LSTM Model by Guowei Li, Gang Tang, Jingyu Zhang, Qun Sun, Xiangjun Liu

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Predicting Running Vertical Ground Reaction Forces Using Neural Network Models Based on an IMU Sensor by Shangxiao Li, Jiahui Pan, Dongmei Wang, Shufang Yuan, Jin Yang, Weiya Hao

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Prediction of prognosis, efficacy of lung adenocarcinoma by machine learning model based on immune and metabolic related genes by Cong Xue, Yi-Zhi Dai, Gui-Long Li, Yi Zhang

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A new deep learning model for predicting IMRT dose distributions for lung cancer with dose masks by Xuezhen Feng, Xuezhen Feng, Mingqing Wang, Xinyan Lin, Xinyan Lin, Can Li, Can Li, Yuxi Pan, Guoping Zuo, Ruijie Yang

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Predicting Pharmacokinetics of Active Constituents in <i>Spatholobi caulis</i> by Using Physiologically Based Pharmacokinetic Models by Xiaoyan Liu, Ruihu Du, Tao Zhang, Yingzi Li, Ludi Li, Zheng Yang, Youbo Zhang, Qi Wang

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Classification of primary glomerulonephritis using machine learning models: a focus on IgA nephropathy prediction by Zhengbiao Hu, Shuangshan Bu, Kai Wang, Qianqian Cao, Huanhuan Zheng, Jie Yang, Shanshan Chen, Yuemeng Wu, Wenkai Ren, Chenlei He

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Predicting emotional responses in interactive art using Random Forests: a model grounded in enactive aesthetics by Xiaowei Chen, Xiaowei Chen, Zainuddin Ibrahim, Azlan Abdul Aziz

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A Hybrid ARIMA-LSTM-XGBoost Model with Linear Regression Stacking for Transformer Oil Temperature Prediction by Xuemin Huang, Xiaoliang Zhuang, Fangyuan Tian, Zheng Niu, Yujie Chen, Qian Zhou, Chao Yuan

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Integrative machine learning model of RNA modifications predict prognosis and treatment response in patients with breast cancer by Tao Wang, Shu Wang, Zhuolin Li, Jie Xie, Qi Jia, Jing Hou

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