Development and validation of a nomogram for predicting venous thromboembolism risk in post-surgery patients with cervical cancer by Yue Chen, Xiaosheng Li, Li Yuan, Yuliang Yuan, Qianjie Xu, Zuhai Hu, Wei Zhang, Haike Lei

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Frailty risk prediction models for patients undergoing maintenance hemodialysis in China: a systematic review by Yu Zhong, Songmei Cao, Liangying Chen, Teng Li, Wei Ye

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Development and validation of a novel bleeding risk prediction tool for aspirin users with a low body mass index by Lu Yifang, Lei Wanlin, Wang Maofeng

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Predictive Model for Estimating Prostate Resection Size in Transurethral Resection of the Prostate for Patients with Benign Prostatic Hyperplasia by Okwudli C. Amu, Solomon K. Anyimba

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Development and validation of a frailty risk model for patients with mild cognitive impairment by Yuyu Cui, Zhening Xu, Zhaoshu Cui, Yuanyuan Guo, Peiwei Wu, Xiaoyan Zhou

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Effect of comorbidity classes on survival of patients with gastrointestinal tract cancer by Linna Gao, Tian Yao, Shaohua Ge, Jiuwei Cui, Wei Li, Zengqing Guo, Hongxia Xu, Min Weng, Suyi Li, Qinghua Yao, Wen Hu, Lan Zhou, Junqiang Chen, Xianghua Wu, Qingchuan Zhao, Hongli Li, Hanping Shi, Yi Ba, He Huang, The Investigation on Nutrition Status and its Clinical Outcome of Common Cancers (INSCOC) Group

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A predictive model for depression risk in individuals with hypertension: evidence from NHANES 2007–2020 by Keyou Wen, Yuxin Nie, Yilin Lai, Ping Li, Zhihua Huang, Guangjiao Liu, Yueqiao Zhong, Huamei Li, Jiahua Liang

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Integration of metabolomics methodologies for the development of predictive models for mortality risk in elderly patients with severe COVID-19 by Shanpeng Cui, Qiuyuan Han, Ran Zhang, Siyao Zeng, Ying Shao, Yue Li, Ming Li, Wenhua Liu, Junbo Zheng, Hongliang Wang

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A novel predictive model for estimation of cell voltage in electrochemical recovery of copper from brass: Application of gene expression programming by Ghasemi S., Vaghar S., Pourzafar M., Dehghani H., Heidarpour A.

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Hip Arthroscopy for Femoroacetabular Impingement Syndrome: Preoperative Radiographic Findings and Risk Factors for Reoperation at 3–6 Years Postoperatively by Andrea H. Johnson, Laura A. Stock, Jane C. Brennan, Justin J. Turcotte, Benjamin M. Petre

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Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016 by Yu-zhen Zhang, Hai-ying Wu, Run-wei Ma, Bo Feng, Rui Yang, Xiao-gang Chen, Min-xiao Li, Li-ming Cheng

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Establishing a preoperative predictive model for gallbladder adenoma and cholesterol polyps based on machine learning: a multicentre retrospective study by Yubing Wang, Chao Qu, Jiange Zeng, Yumin Jiang, Ruitao Sun, Changlei Li, Jian Li, Chengzhi Xing, Bin Tan, Kui Liu, Qing Liu, Dianpeng Zhao, Jingyu Cao, Weiyu Hu

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Ultrasonic radiomics-based nomogram for preoperative prediction of residual tumor in advanced epithelial ovarian cancer: a multicenter retrospective study by Shanshan Li, Qiuping Ding, Lijuan Li, Yuwei Liu, Hanyu Zou, Yushuang Wang, Xiangyu Wang, Bingqing Deng, Qingxiu Ai

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Predicting purulent meningitis in very preterm infants: a novel clinical model by Xiaowei Sun, Rui Jing, Yang Li

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Predicting dengue incidence in high-risk areas of China through the integration of Southeast Asian and local meteorological factors by Shaowei Sang, Yiguan Wang, Qiyong Liu, Peng Chen, Chuanxi Li, Anran Zhang

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A cycle-based model to predict no usable blastocyst formation following cycles of in vitro fertilization in patients with normal ovarian reserve by Xue Wang, Chen-yue Dong, Cui-lian Zhang, Shao-di Zhang

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The clinical features and risk factors of coagulopathy associated with cefoperazone/sulbactam: a nomogram prediction model by Changjing Xu, Junlong Zhu, Kun Tu, Hui Tang, Xinxin Zhou, Qiuyu Li, Kun Chen, Xuping Yang, Yilan Huang

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Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis by Yi Pan, Pushi Wang, Bowen Xue, Yanbin Liu, Xinhua Shen, Shiliang Wang, Xing Wang

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Construction and Validation of a Model for Predicting Fear of Childbirth: A Cross-Sectional Population Study via Machine Learning by Zhang ZL, Chen KJ, Chen H, Zhu MM, Gu JJ, Jiang LS, Zheng L, Zhou SG

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A novel nomogram for predicting the morbidity of chronic atrophic gastritis based on serum CXCL5 levels by Bei Pei, Qin Sun, Yi Zhang, Ziang Wen, Wenjing Ding, Kairui Wu, Tingting Li, Xuejun Li

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