Daily Treatment Monitoring for Patients Receiving Home-Based Peritoneal Dialysis and Prediction of Heart Failure Risk: mHealth Tool Development and Modeling Study by Jia Wu, Youjia Zeng, Jun Yang, Yutong Yao, Xiuling Xu, Gaofeng Song, Wuyong Yi, Taifen Wang, Yihou Zheng, Zhongwei Jia, Xiangyu Yan

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Development and validation of clinical prediction model for post-treatment recurrence in high-risk non-muscle invasive bladder cancer after BCG intravesical instillation by WANG Haitao, LUO Weiming, CHEN Jian

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Development and validation of a novel scoring model for predicting underlying intracranial atherosclerosis prior to endovascular treatment in acute posterior circulation large-vess... by Guoyi Peng, Guoyi Peng, Guoyi Peng, Chuming Huang, Jiaqi Huang, Qiuhui Shi, Wei Xu, Shiwei Luo, Jiong Yang, Shouxing Wang, Qiao Wu, Chuwei Cai, Hao Long, Hao Long

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Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study by Jingchao Lei, Jia Zhai, Yao Zhang, Jing Qi, Chuanzheng Sun

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Early prediction of sepsis associated encephalopathy in elderly ICU patients using machine learning models: a retrospective study based on the MIMIC-IV database by Yupeng Han, Xiyuan Xie, Jiapeng Qiu, Yijie Tang, Zhiwei Song, Wangyu Li, Xiaodan Wu, Xiaodan Wu

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Preoperative clinical model to predict myocardial injury after non-cardiac surgery: a retrospective analysis from the MANAGE cohort in a Spanish hospital by Victoria Gomez, Ekaterine Popova, Javier Zamora, María Gómez-Rojo, David Pestaña, Gerard Urrútia, José Manuel del Rey, Ana Belen Serrano, Eva Ureta, Monica Nuñez, Borja Fernández Félix, Elisa Velasco, Javier Burgos, Alfonso Sanjuanbenito, Juan Manuel Monteagudo, Basilio de la Torre, Ángel Candela-Toha

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CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer by Xiaoyan Lu, Fan Liu, Jiahui E, Xiaoting Cai, Jingyi Yang, Xueqi Wang, Yuwei Zhang, Bingsheng Sun, Ying Liu

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Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT) by Fiona Dierksen, Jakob K. Sommer, Anh T. Tran, Huang Lin, Stefan P. Haider, Ilko L. Maier, Sanjay Aneja, Pina C. Sanelli, Ajay Malhotra, Adnan I. Qureshi, Jan Claassen, Soojin Park, Santosh B. Murthy, Guido J. Falcone, Kevin N. Sheth, Seyedmehdi Payabvash

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Development, Validation, and Deployment of a Time-Dependent Machine Learning Model for Predicting One-Year Mortality Risk in Critically Ill Patients with Heart Failure by Jiuyi Wang, Qingxia Kang, Shiqi Tian, Shunli Zhang, Kai Wang, Guibo Feng

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Developing a Machine Learning Model for Predicting 30-Day Major Adverse Cardiac and Cerebrovascular Events in Patients Undergoing Noncardiac Surgery: Retrospective Study by Ju-Seung Kwun, Houng-Beom Ahn, Si-Hyuck Kang, Sooyoung Yoo, Seok Kim, Wongeun Song, Junho Hyun, Ji Seon Oh, Gakyoung Baek, Jung-Won Suh

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Predicting 30-Day Postoperative Mortality and American Society of Anesthesiologists Physical Status Using Retrieval-Augmented Large Language Models: Development and Validation Stud... by Ying-Hao Chen, Shanq-Jang Ruan, Pei-fu Chen

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Delta radiomics modeling based on CTP for predicting hemorrhagic transformation after intravenous thrombolysis in acute cerebral infarction: an 8-year retrospective pilot study by Xiaxia Wu, Xiaxia Wu, Jinfang Yang, Jinfang Yang, Xianqun Ji, Yingjian Ye, Ping Song, Lina Song, Peng An, Peng An

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Prognostic effects of glycaemic variability on diastolic heart failure and type 2 diabetes mellitus: insights and 1-year mortality machine learning prediction model by Zhenkun Yang, Yuanjie Li, Yang Liu, Ziyi Zhong, Coleen Ditchfield, Taipu Guo, Mingjuan Yang, Yang Chen

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Cluster system load balancing model with consideration of hardware characteristics of server hardware by A. N. Markov

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Organizational innovations management in education by Magda CHMIEL, Krystyna Korneta

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A comprehensive review of large language models: issues and solutions in learning environments by Tariq Shahzad, Tehseen Mazhar, Muhammad Usman Tariq, Wasim Ahmad, Khmaies Ouahada, Habib Hamam

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Phenomenology of modern education quality by Natalya G. Kulikova

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Construction of a random survival forest model based on a machine learning algorithm to predict early recurrence after hepatectomy for adult hepatocellular carcinoma by Ji Zhang, Qing Chen, Yu Zhang, Jie Zhou

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Ten-year prediction model for post-bronchodilator airflow obstruction and early detection of COPD: development and validation in two middle-aged population-based cohorts by Cosetta Minelli, Koen Simons, Christine F McDonald, Caroline J Lodge, Jennifer L Perret, Paul S Thomas, E Haydn Walters, Michael J Abramson, Tony Blakely, Shyamali C Dharmage, Adrian J Lowe, Bruce R Thompson, Dinh S Bui, Robert Adams, Don Vicendese, Geza P Benke, Daniel Tan, Debbie L Jarvis, Garun S Hamilton, Bircan Erbas, John A Burgess, Peter Frith, Adrian Bickerstaffe, Kerry Hancock

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Application and effectiveness of blended learning in medical imaging via the technology acceptance model by Xiaofen Sun, Jianghua Wan, Zhiqun Li, Rong Tu, Juan Lin, Xiaohua Li, Jianqiang Chen

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