Daily Automated Prediction of Delirium Risk in Hospitalized Patients: Model Development and Validation by Kendrick Matthew Shaw, Yu-Ping Shao, Manohar Ghanta, Valdery Moura Junior, Eyal Y Kimchi, Timothy T Houle, Oluwaseun Akeju, Michael Brandon Westover

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Evaluation of different erosion models for predicting guide vane wear in Francis turbine by Rakish Shrestha, Rakish Shrestha, Kushal Shrestha, Kushal Shrestha, Sailesh Chitrakar, Sailesh Chitrakar, Bhola Thapa, Hari Prasad Neopane, Zhongdong Qian, Zhiwei Guo

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The Geometry of Flow: Advancing Predictions of River Geometry With Multi‐Model Machine Learning by Shuyu Y. Chang, Zahra Ghahremani, Laura Manuel, Seyed Mohammad Hassan Erfani, Chaopeng Shen, Sagy Cohen, Kimberly J. Van Meter, Jennifer L. Pierce, Ehab A. Meselhe, Erfan Goharian

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Predicting Dilution in Underground Mines with Stacking Artificial Intelligence Models and Genetic Algorithms by Jorge L. V. Mariz, Tertius S. G. Ferraz, Marinésio P. Lima, Ricardo M. A. Silva, Hyongdoo Jang

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A deep learning model to predict dose distributions for breast cancer radiotherapy by Xiaorong Hou, Weishi Cheng, Jing Shen, Hui Guan, Yimeng Zhang, Lu Bai, Shaobin Wang, Zhikai Liu

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CKRT coagulation risk prediction and nursing feedback model based on intelligent algorithms by Xianrong Xu, Mou Chen, Lvjing Chen, Kaixing Huang, Shiqi Cao, Wenwen Gao, Kang Liu, Buyun Wu, Huijuan Mao

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Predicting the potential distribution of Taxus cuspidata in northeastern China based on the ensemble model by Baoliang Chang, Chen Huang, Bingming Chen, Ziwen Wang, Xingyuan He, Wei Chen, Yanqing Huang, Yue Zhang, Shuai Yu

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Prediction models for intraventricular hemorrhage in very preterm infants: a systematic review by Ping Xiong, Yonggang Wei, Lei Li, Houxin Kang, Zhangbin Yu, Hong Tang, Yuanlin Pu

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Construction of a disease risk prediction model for postherpetic pruritus by machine learning by Zheng Lin, Yuan Dou, Ru-yi Ju, Ping Lin, Yi Cao

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Development and validation of a nomogram model to predict the risk of strangulated intestinal obstruction by Yanjing Zhu, Qiangqiang Wang, Lvhao Cao, Tongyuan Zhang, Jiawei Chang, Xingyu Wang

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Outcome prediction model for patients with unresectable hepatocellular carcinoma treated with targeted therapy by Qiang Ruan, Xiaohui Wang, Qiang Li, Yu Tao, Yang Xun, Hua Yang, Han Zhao, Jinfeng Lu, Dazhi Yang, Yifan Chen, Li Wei

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Establishment of an Early Prediction Model for Severe Fever With Thrombocytopenia Syndrome‐Associated Encephalitis by Yijiang Liu, Naisheng Zhu, Zimeng Qin, Chenzhe He, Jiaqi Li, Hongbo Zhang, Ke Cao, Wenkui Yu

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Postoperative hyperglycemia in patients with traumatic brain injury: development of a prediction model by Xiangyi Yin, Yi Xia, Liuyan Shen, Xiaowen Zhu, Lichun Lu, Xianlan Meng

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Interpretable machine learning models for survival prediction in prostate cancer bone metastases by Hua Zhang, Bingtian Dong, Jialin Han, Lewen Huang

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Research on the development of an intelligent prediction model for blood pressure variability during hemodialysis by Zhijian Ren, Minqiao Zhang, Pingping Wang, Kanan Chen, Jing Wang, Lingping Wu, Yue Hong, Yihui Qu, Qun Luo, Kedan Cai

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Prognostic factors and prediction models for acute aortic dissection: a systematic review by Ling Li, Xin Sun, Jing Tan, Qianrui Li, Kang Zou, Shiyao Huang, Yan Ren, Chunrong Liu

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Machine learning model for postpancreaticoduodenectomy haemorrhage prediction: an international multicentre cohort study by Zhe Zhang, Xiaowei Wang, Chengfeng Wang, Jianwei Zhang, Xueping Zhao, Minjie Shang, Qiuran Xu, Zongting Gu

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AKI prediction model in acute aortic dissection surgery: nomogram development and validation by Rui Du, Lai Wang, Yan Wang, Zhitao Zhao, Dahong Zhang, Shanshan Zuo

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Assessment and prediction models for the quantitative and qualitative reserve of the ovary using machine learning by Hiroshi Koike, Miyuki Harada, Kaname Yoshida, Katsuhiko Noda, Chihiro Tsuchida, Toshihiro Fujiwara, Akari Kusamoto, Zixin Xu, Tsurugi Tanaka, Nanoka Sakaguchi, Chisato Kunitomi, Nozomi Takahashi, Yoko Urata, Kenbun Sone, Osamu Wada-Hiraike, Yasushi Hirota, Yutaka Osuga

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Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study by Eric Pulick, John Curtin, Yonatan Mintz

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