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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Development and validation of a predictive model for postoperative hepatic dysfunction in Stanford type A aortic dissection by Xiaotian Han, Wei Wang, Tianxiang Gu, Enyi Shi

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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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Development and Validation of Predictive Risk Scores for Ovarian Clear Cell Carcinoma: A Penalized Regression Model by Shohei Iyoshi, Ryo Emoto, Nobuhisa Yoshikawa, Kosuke Yoshida, Masato Yoshihara, Satoshi Tamauchi, Akira Yokoi, Yusuke Shimizu, Yoshiki Ikeda, Kaoru Niimi, Michiyasu Kawai, Shigeyuki Matsui, Hiroaki Kajiyama

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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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Predictive value of models based on MRI radiomics and clinical indicators for lymphovascular space invasion in endometrial cancer by Wenwen Ma, Weijing Meng, Jinfeng Yin, Jie Liang, Xizhen Wang, Jingang Liu, Fuyan Shi

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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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Predictive modeling of multidrug resistance in female genital infections: implications for early urinary tract infection detection by Francis Chukwuebuka Ihenetu, Chinyere I. Okoro, Emeka Henry Okechukwu, Makuochukwu Maryann Ozoude, Farirai Melania Farirai

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Influencing factors for hyporesponsiveness to erythropoiesis-stimulating agents in patients on maintenance hemodialysis and construction of a predictive model by YIN Jiaming, LUO Congjuan, SHEN Bing, YUAN Nan, SUN Lijie, CHAI Yalin

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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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Development of a predictive model for pneumothorax after microwave ablation based on radiomics and clinical baseline data by Xiangyu Xie, Kun Li, Lei Chen, Hong Li, Chaofan Meng, Liang Zheng

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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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A hypoxia‐related lncRNA model for prediction of head and neck squamous cell carcinoma prognosis by Junwei Xiang, Yaodong He, Yunshan Li, Kexuan Wu, Mengxiang Cheng, Yuanyin Wang, Ran Chen

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