Predictive value of the stone-free rate after percutaneous nephrolithotomy based on multiple machine learning models by Zhao Rong Liu, Zhao Rong Liu, Zhan Jiang Yu, Jie Zhou, Jian Biao Huang

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ADME gene-driven prognostic model for bladder cancer: a breakthrough in predicting survival and personalized treatment by Haojie Dai, Xi Zhang, You Zhao, Jun Nie, Zhenyu Hang, Xin Huang, Hongxiang Ma, Li Wang, Zihao Li, Ming Wu, Jun Fan, Ke Jiang, Weiping Luo, Chao Qin

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Predicting the risk of postoperative avascular necrosis in patients with talar fractures based on an interpretable machine learning model by Jian Zhang, Jian Zhang, Jian Zhang, Jihai Xu, Jihai Xu, Jiapei Yu, Jiapei Yu, Jiapei Yu, Hong Chen, Hong Chen, Xin Hong, Songou Zhang, Xin Wang, Xin Wang, Chengchun Shen, Chengchun Shen, Chengchun Shen

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Predicting Heart Rate Slow Component Dynamics: A Model Across Exercise Intensities, Age, and Sex by Massimo Teso, Alessandro L. Colosio, Maura Loi, Jan Boone, Silvia Pogliaghi

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Predicting Disease Progression in Inoperable Localized NSCLC Patients Using ctDNA Machine Learning Model by Yuqi Wu, Canjun Li, Yin Yang, Tao Zhang, Jianyang Wang, Wanxiangfu Tang, Ningyou Li, Hua Bao, Xin Wang, Nan Bi

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Development and validation of a preeclampsia prediction model for the first and second trimester pregnancy based on medical history by Qi Xu, Lili Xing, Ting Zhang, Guoli Liu

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Development and external validation of a model to predict recurrence in patients with non-muscle invasive bladder cancer by Jiajia Tang, Jiajia Tang, Longmei Fan, Longmei Fan, Tianyu Huang, Tianyu Huang, Rongrong Yang, Rongrong Yang, Xinqi Yang, Xinqi Yang, Yuanjian Liao, Mingshun Zuo, Neng Zhang, Jiangrong Zhang, Jiangrong Zhang

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Nomogram model for predicting pressure injury in COPD patients using SII: a Chinese clinical study by Yuli Cai, Huimin Chen, Zhaojun Chen, Qinghua Chen, Yihuan Su, Feiju Chen, Feiju Chen, Jingjing Pan, Jingjing Pan, Yitian Yang, Zhongxing Hu, Wenxi Li, Huizhao Liao, Tingting Sun, Junfen Cheng, Wenliang Chen, Baozhi Zhang, Riken Chen

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An interpretable machine learning model for predicting myocardial injury in patients with high cervical spinal cord injury by Jiaqi Li, Jiaqi Li, Bingyu Zhang, Bingyu Zhang, Ye Liao, Ye Liao, Liqin Wei, Qinfeng Huang, Qinfeng Huang, Lijun Lin, Lijun Lin, Jiaxin Chen, Jiaxin Chen, Hui Chen, Hui Chen

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Population-based colorectal cancer risk prediction using a SHAP-enhanced LightGBM model by Guinian Du, Hui Lv, Yishan Liang, Jingyue Zhang, Qiaoling Huang, Guiming Xie, Xian Wu, Hao Zeng, Lijuan Wu, Jianbo Ye, Wentan Xie, Xia Li, Yifan Sun

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Validation with the Dynamic Prediction Model of Protein and Amino Acid Requirements for Growth Performance and Health in Layer Chicks by Zhi-Yuan Xia, Alainaa Refaie, Miao Liu, You-Yang Wei, Lv-Hui Sun, Zhang-Chao Deng

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Abstract 052: External Validation of the Prediction Model For Delayed Reperfusion in Patients with Incomplete Reperfusion: EXTEND‐PROCEED by Adnan Mujanovic, Felix Ng, Mattia Branca, Thomas Meinel, Leonid Churilov, Peter Mitchell, Nawaf Yassi, Mark Parsons, Gagan Sharma, Marcel Arnold, Eike Piechowiak, Timothy Kleinig, David Seiffge, Tomas Dobrocky, Jan Gralla, Urs Fischer, Bruce Campbell, Johannes Kaesmacher

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Predicting snow cover and frozen ground impacts on large basin runoff: developing appropriate model complexity by N. Wu, N. Wu, N. Wu, N. Wu, K. Zhang, K. Zhang, K. Zhang, K. Zhang, K. Zhang, A. Naghibi, H. Hashemi, Z. Ning, Z. Ning, Z. Ning, Q. Zhang, X. Yi, H. Wang, W. Liu, W. Gao, J. Jarsjö

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Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study. by Zhi Nie, Srinivasan Vairavan, Vaibhav A Narayan, Jieping Ye, Qingqin S Li

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A highly scalable deep learning language model for common risks prediction among psychiatric inpatients by Enzhao Zhu, Jiayi Wang, Guoquan Zhou, Chunbo Li, Fazhan Chen, Kang Ju, Liangliang Chen, Yichao Yin, Yi Chen, Yanping Zhang, Xu Zhang, Xinlin Zhou, Zongyuan Wang, Jianping Qiu, Hui Wang, Weizhong Shi, Feng Wang, Dong Wang, Zhihao Chen, Jiaojiao Hou, Hui Li, Zisheng Ai

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Early prediction of preeclampsia from clinical, multi-omics and laboratory data using random forest model by Qiang Zhao, Jia Li, Zhuo Diao, Xiao Zhang, Suihua Feng, Guixue Hou, Wenqiu Xu, Zhiguang Zhao, Zhixu Qiu, Wenzhi Yang, Si Zhou, Peirun Tian, Qun Zhang, Weiping Chen, Huahua Li, Gefei Xiao, Jie Qin, Liqing Hu, Zhongzhe Li, Liang Lin, Shunyao Wang, Ruyun Gao, Wuyan Huang, Xiaohong Ruan, Sufen Zhang, Jianguo Zhang, Lijian Zhao, Rui Zhang

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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

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Exploring the gut microbiota associated with peripheral nerve invasion in colorectal cancer patients and constructing predictive models by Chuanbin Chen, Qingmin Chen, Shenghai Liu, Guoxi Li, Jiawei Zhao, Jingting Huang, Tianyi Ye, Xinting Yang, Zigui Huang, Zhen Wang, Fuhai He, Mingjian Qin, Chenyan Long, Binzhe Tang, Yongqi Huang, Weizhong Tang, Jungang Liu, Xiaoliang Huang

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Bioenergetic-related gene expression in the hippocampus predicts internalizing vs. externalizing behavior in an animal model of temperament by Elaine K. Hebda-Bauer, Megan H. Hagenauer, Daniel B. Munro, Daniel B. Munro, Peter Blandino, Fan Meng, Keiko Arakawa, John D. H. Stead, Apurva S. Chitre, A. Bilge Ozel, Pejman Mohammadi, Pejman Mohammadi, Stanley J. Watson, Shelly B. Flagel, Jun Li, Abraham A. Palmer, Abraham A. Palmer, Huda Akil

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Metabolomic machine learning-based model predicts efficacy of chemoimmunotherapy for advanced lung squamous cell carcinoma by Liang Zheng, Wei Nie, Shuyuan Wang, Ling Yang, Fang Hu, Fang Hu, Meili Ma, Lei Cheng, Jun Lu, Bo Zhang, Jianlin Xu, Ying Li, Yinchen Shen, Wei Zhang, Runbo Zhong, Tianqing Chu, Baohui Han, Xiaoxuan Zheng, Xiaoxuan Zheng, Hua Zhong, Xueyan Zhang

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