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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Decoding the Factors behind Rising Fatal Roadway Crashes in Iran: an In-Depth Analysis and Predictive Modelling Study by Seyedeh Zeinab Almasi, Seyed Ahmadreza Almasi, Ahmad Goli Khorasgani, Chamroeun Se, Krzysztof Goniewicz, Saeid Bitaraf, Vatanavongs Ratanavaraha, Hossein Bahmani, Maxim A. Dulebenets

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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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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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Evaluating mesoscale model predictions of diurnal speedup events in the Altamont Pass Wind Resource Area of California by R. S. Arthur, A. Rybchuk, T. W. Juliano, G. Rios, S. Wharton, J. K. Lundquist, J. K. Lundquist, J. D. Fast

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A pilot prospective study based on scanning OCT: the intraoperative vault model predicts postoperative vault by Zhongjun Tang, Yanze Yu, Jing Zhao, Yang Shen, Shengtao Liu, Xingtao Zhou

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Developing an interpretable machine learning predictive model of chronic obstructive pulmonary disease by serum PFAS concentration by Xiaomei Shao, Ling Zhang, Yuting Wang, Youmei Ying, Xueqin Chen

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Machine learning model for predicting tertiary lymphoid structures and treatment response in triple-negative breast cancer by Yidan Lin, Yushuai Yu, Qing Wang, Kaiyan Huang, Shukai Guo, Jie Zhang, Yihui He, Xin Yu, Jiwen Zhang, Fan Meng, Shicong Tang, Junhui Yuan, Chuangui Song

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Development and validation of an explainable machine learning prediction model of hemorrhagic transformation after intravenous thrombolysis in stroke by Yanan Lin, Yan Li, Yayin Luo, Jie Han

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Prediction Model for Determination of Indications for Laser or Surgical Treatment for Aggressive Posterior Retinopathy of Prematurity at the Manifestation Stage by A. V. Tereshhenko, I. G. Trifanenkova, Yu. A. Sidorova, M. S. Tereshhenkova, E. V. Erohina, S. V. Isaev

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Utilization of a Joint Point Regression Model for Predicting Mortality Rates of Common Cancers in Babol City by Pouyan Ebrahimi, Sara Khaleghi, Mohebat Vali, Sahar Delavari, Soraya Khafri, Mohsen Karami, Layla Shojaie, Hossein‐Ali Nikbakht

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Construction and validation of a predictive model for meningoencephalitis in pediatric scrub typhus based on machine learning algorithms by Yonghan Luo, Wenrui Ding, Xiaotao Yang, Houxi Bai, Feng Jiao, Yan Guo, Ting Zhang, Xiu Zou, Yanchun Wang

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Predictive Model for <i>Listeria monocytogenes</i> in RTE Meats Using Exclusive Food Matrix Data by N. A. Nanje Gowda, Manjari Singh, Gijs Lommerse, Saurabh Kumar, Eelco Heintz, Jeyamkondan Subbiah

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A Novel Nomogram Model for Predicting the Risk of Hepatocellular Carcinoma in Patients with Chronic Hepatitis B Infection by Wu Y, Wang M, Zhang Z, Chen G, Zhang B

“…A web-based calculator was developed(https://nomogram-model-hcc.shinyapps.io/DynNomapp/).Conclusion: The novel nomogram model, which includes age, sex, liver cirrhosis, NLR, TBIL, AST, ALB, AFP, and HBV DNA as factors, precisely predicts the risk of HCC in patients with chronic hepatitis B(CHB) and outperforms the existing models.Keywords: HBV infection, HCC, neutrophil/platelet count ratio, prediction…”
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Development and validation of a nomogram prediction model for factors influencing 131I-refractory Graves’ hyperthyroidism by Kehua Liao, Xiaojuan Wei, Yan Chen, Dongyun Meng, Shaozhou Mo, Zeyong Sun, Fengyang Song, Lu Lu, Wentan Huang

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Ice‐kNN‐South: A Lightweight Machine Learning Model for Antarctic Sea Ice Prediction by Yongcheng Lin, Qinghua Yang, Xuewei Li, Xiaoran Dong, Hao Luo, Yafei Nie, Jiuke Wang, Yiguo Wang, Chao Min

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