Improving of the Generation Accuracy Forecasting of Photovoltaic Plants Based on <i>k</i>-Means and <i>k</i>-Nearest Neighbors Algorithms by P. V. Matrenin, A. I. Khalyasmaa, V. V. Gamaley, S. A. Eroshenko, N. A. Papkova, D. A. Sekatski, Y. V. Potachits

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Development and validation of a hyperlipidemia risk prediction model for middle-aged and older adult Chinese using 2015 CHARLS data by Li-xiang Zhang, Shan-Bing Hou, Fang-fang Zhao, Ting-ting Wang, Ying Jiang, Xiao-juan Zhou, Jiao-yu Cao

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Transboundary Impacts of NO₂ on Soil Nitrogen Fixation and Their Effects on Crop Yields in China by Jinhui Xie, Peiheng Yu, Xiangzheng Deng

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Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the China health and retirement lo... by Qing Huang, Zihao Jiang, Bo Shi, Jiaxu Meng, Li Shu, Fuyong Hu, Jing Mi

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Multi-omics analysis reveals the sensitivity of immunotherapy for unresectable non-small cell lung cancer by Rui Wu, Kunchen Wei, Xingshuai Huang, Yinge Zhou, Xiao Feng, Xin Dong, Hao Tang

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Actors influencing cancer-related fatigue and the construction of a risk prediction model in lung cancer patients by Mei-Ning Zhang, Yi-Chen Zhou, Zhu Zeng, Cun-Liang Zeng, Bo-Tao Hou, Gui-Rong Wu, Qiao Jiao, Dai-Yuan Ma

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Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction by Waqar A. Sulaiman, Charithea Stylianides, Andria Nikolaou, Andria Nikolaou, Zinonas Antoniou, Ioannis Constantinou, Lakis Palazis, Anna Vavlitou, Theodoros Kyprianou, Theodoros Kyprianou, Efthyvoulos Kyriacou, Antonis Kakas, Antonis Kakas, Marios S. Pattichis, Andreas S. Panayides, Constantinos S. Pattichis, Constantinos S. Pattichis

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Identifying risk factors and constructing a predictive model for heart failure combined with intracardiac thrombus in non-compaction cardiomyopathy patients by Peizhu Dang, Haiyang Wang, Xiaowei Huo, Zheyong Liang, Yongjian Zhang

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Risk prediction models for stress urinary incontinence after pelvic organ prolapse (POP) surgery: a systematic review and meta-analysis by Bi Jun Yu, Hao Chong He, Li Wang, Han Mei Shao, Ying Min Liu, Xiao Ying Yan, Jian Liu

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Characterization and Machine Learning-Driven Property Prediction of a Novel Hybrid Hydrogel Bioink Considering Extrusion-Based 3D Bioprinting by Rokeya Sarah, Kory Schimmelpfennig, Riley Rohauer, Christopher L. Lewis, Shah M. Limon, Ahasan Habib

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Development and Validation of a Nomogram for Predicting Long-Term Net Adverse Clinical Events in High Bleeding Risk Patients Undergoing Percutaneous Coronary Intervention by Junyan Zhang, Zhongxiu Chen, Ran Liu, Yuxiao Li, Hongsen Zhao, Yanning Li, Minggang Zhou, Hua Wang, Chen Li, Li Rao, Yong He

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Customization of health insurance premiums using machine learning and explainable AI by Manohar Kapse, Vinod Sharma, Rutuj Vidhale, Varun Vellanki

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A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR by Yuqi Zhang, Sijin Li, Peibiao Mai, Yanqi Yang, Niansang Luo, Chao Tong, Kuan Zeng, Kun Zhang

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Predictive model of acute kidney injury in critically ill patients with acute pancreatitis: a machine learning approach using the MIMIC-IV database by Shengwei Lin, Wenbin Lu, Ting Wang, Ying Wang, Xueqian Leng, Lidan Chi, Peipei Jin, Jinjun Bian

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Development and validation of a nomogram for predicting early neurological deterioration in patients with moderate traumatic brain injury: a retrospective analysis by Shen Wang, Shen Wang, Ruhai Wang, Chao Han, Haicheng Hu, Hongtao Sun, Hongtao Sun

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Dual Model for International Roughness Index Classification and Prediction by Noelia Molinero-Pérez, Laura Montalbán-Domingo, Amalia Sanz-Benlloch, Tatiana García-Segura

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Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis by Wensong Shi, Yuzhui Hu, Guotao Chang, He Qian, Yulun Yang, Yinsen Song, Zhengpan Wei, Liang Gao, Hang Yi, Sikai Wu, Kun Wang, Huandong Huo, Shuaibo Wang, Yousheng Mao, Siyuan Ai, Liang Zhao, Xiangnan Li, Huiyu Zheng

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A nomogram prediction model for mild cognitive impairment in non-dialysis outpatient patients with chronic kidney disease by Qin Yang, Yuhe Xiang, Guoting Ma, Min Cao, Yixi Fang, Wenbin Xu, Lin Li, Qin Li, Yu Feng, Qian Yang

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Integration of a hybrid vibration prediction model for railways into noise mapping software: methodology, assumptions and demonstration by Pieter Reumers, Geert Degrande, Geert Lombaert, David J. Thompson, Evangelos Ntotsios, Pascal Bouvet, Brice Nélain, Andreas Nuber

Subjects: “…Hybrid vibration prediction model…”
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Prediction models for cognitive impairment in middle-aged patients with cerebral small vessel disease by Wei Zheng, Xiaoyan Qin, Ronghua Mu, Peng Yang, Bingqin Huang, Bingqin Huang, Zhixuan Song, Xiqi Zhu, Xiqi Zhu

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