Artificial Intelligence and Machine Learning Models for Predicting Drug-Induced Kidney Injury in Small Molecules by Mohan Rao, Vahid Nassiri, Sanjay Srivastava, Amy Yang, Satjit Brar, Eric McDuffie, Clifford Sachs

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Construction of cuproptosis-related genes risk model predicts the prognosis of Uterine Corpus Endometrial Carcinoma by Yanfang Huang, Guoxian Luo, Xiujie Sheng, Jianqi Li

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PBertKla: a protein large language model for predicting human lysine lactylation sites by Hongyan Lai, Diyu Luo, Mi Yang, Tao Zhu, Huan Yang, Xinwei Luo, Yijie Wei, Sijia Xie, Feitong Hong, Kunxian Shu, Fuying Dao, Hui Ding

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An MRI-based fusion model for preoperative prediction of perineural invasion status in patients with intrahepatic cholangiocarcinoma by Zuochao Qi, Hao Yuan, Qingshan Li, Pengyu Chen, Dongxiao Li, Kunlun Chen, Bo Meng, Peigang Ning, Haibo Yu, Deyu Li

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The possibilities of predicting the individual risk of cervical cancer in women of reproductive age using mathematical modeling by L. A. Klyukina, E. A. Sosnova, A. A. Ishchenko, M. M. Davydov

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Calculation Model for the Degree of Hydration and Strength Prediction in Basalt Fiber-Reinforced Lightweight Aggregate Concrete by Yanqun Sun, Haoxuan Jia, Jianxin Wang, Yanfei Ding, Yanfeng Guan, Dongyi Lei, Ying Li

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Explainable machine learning model for predicting furosemide responsiveness in patients with oliguric acute kidney injury by Meng Jiang, Chun-qiu Pan, Jian Li, Li-gang Xu, Chang-li Li

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Development and validation of a nomogram model to predict postoperative delirium after resection of esophageal cancer by Xia Shen, Long Yang, Lei Jiang, Qian Wang, Yuan-yuan Liu, Shao-zheng Song, Jian-feng Zhang, Ping Cai, Zhun-zhun Liu

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Leveraging deep neural network and language models for predicting long-term hospitalization risk in schizophrenia by Yihang Bao, Wanying Wang, Zhe Liu, Weidi Wang, Xue Zhao, Shunying Yu, Guan Ning Lin

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Analysis of arteriovenous fistula failure factors and construction of nomogram prediction model in patients with maintenance hemodialysis by Shengjie Guo, Yurou Wang, Chao Zou, Liping Liu, Tingting He, Chengcheng Sun, Xiaosu Gan, Xiaofang Tian, Liying Yuan

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Research on Shale Oil Well Productivity Prediction Model Based on CNN-BiGRU Algorithm by Yuan Pan, Xuewei Liu, Fuchun Tian, Liyong Yang, Xiaoting Gou, Yunpeng Jia, Quan Wang, Yingxi Zhang

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Development and Internal Validation of a Machine Learning-Based Colorectal Cancer Risk Prediction Model by Deborah Jael Herrera, Daiane Maria Seibert, Karen Feyen, Marlon van Loo, Guido Van Hal, Wessel van de Veerdonk

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A study on the risk prediction model for venous thromboembolism in orthopedic inpatients based on machine learning by Bo Zhang, Yumei Qin, Liandi Jiu, Chunming Qin, Jiangbo Wang, Haiqing Zhao

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An echo state network based on enhanced intersecting cortical model for discrete chaotic system prediction by Xubin Wang, Pei Ma, Jing Lian, Jizhao Liu, Yide Ma

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Identification of lactylation-related subtypes， construction of prognostic scoring model and immunotherapy prediction in ovarian cancer by LIN Zidan, ZHOU Chenfei, HUANG Shuting, CHAO Jinyu, HE Shanyang

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Fetal Birth Weight Prediction in the Third Trimester: Retrospective Cohort Study and Development of an Ensemble Model by Jing Gao, Xu Jie, Yujun Yao, Jingdong Xue, Lei Chen, Ruiyao Chen, Jiayuan Chen, Weiwei Cheng

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Machine Learning-Based Pathomics Model to Predict the Prognosis in Clear Cell Renal Cell Carcinoma by Xiangyun Li MD, MS, Xiaoqun Yang MD, PhD, Xianwei Yang BSc, Xin Xie MD, PhD, Wenbin Rui MD, PhD, Hongchao He MD, PhD

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CLINICAL AND ECONOMIC EFFICACY OF PRIMARY PREDICTION ORGANISATIONAL MODEL FOR CARDIOVASCULAR DISEASES IN RAILWAY SYSTEM WORKERS by N. V. Pyrikova, I. V. Osipova, A. V. Kontsevaya, A. G. Salzman, I. I. Kurbatova, O. N. Antropova

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Predictive model for sarcopenia in patients with non-small cell lung cancer and malignant pleural effusion by Hengxing Gao, Xuexue Zou, Meng Fan, Mingwei Chen

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Towards a global spatial machine learning model for seasonal groundwater level predictions in Germany by S. Kunz, A. Schulz, M. Wetzel, M. Nölscher, T. Chiaburu, F. Biessmann, S. Broda

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