Comparative analysis and application of rockburst prediction model based on secretary bird optimization algorithm by Tengjie Yang, Tengjie Yang, Xinqiang Gao, Xinqiang Gao, Lichuan Wang, Yongqing Xue, Haobo Fan, Zhengguo Zhu, Zhengguo Zhu, Jingbo Zhao, Beiyi Dong, Beiyi Dong

“…In order to determine the relevant prediction indicators, a feature selection method based on the ReliefF-Kendall model was proposed. …”
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Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts by Kristen D. Brantley, Michael E. Jones, Rulla M. Tamimi, Bernard A. Rosner, Peter Kraft, Hazel B. Nichols, Katie M. O’Brien, Hans-Olov Adami, Amaia Aizpurua, Amy Berrington de González, William J. Blot, Tonje Braaten, Yu Chen, Jessica Clague DeHart, Laure Dossus, Sjoerd Elias, Renée T. Fortner, Montserrat Garcia-Closas, Inger T. Gram, Niclas Håkansson, Susan E. Hankinson, Cari M. Kitahara, Woon-Puay Koh, Martha S. Linet, Robert J. MacInnis, Giovanna Masala, Lene Mellemkjær, Roger L. Milne, David C. Muller, Hannah Lui Park, Kathryn J. Ruddy, Sven Sandin, Xiao-Ou Shu, Sandar Tin Tin, Thérèse Truong, Celine M. Vachon, Lars J. Vatten, Kala Visvanathan, Elisabete Weiderpass, Walter Willett, Alicja Wolk, Jian-Min Yuan, Wei Zheng, Dale P. Sandler, Minouk J. Schoemaker, Anthony J. Swerdlow, A. Heather Eliassen

Subjects: “…Risk prediction model…”
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Ascites complications risk factors of decompensated cirrhosis patients: logistic regression and prediction model by Xiaolong Zheng, Wei Wei

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Predicting the Effectiveness of Resilient Safety in the Building Construction Sector of Rwanda Using the ANN Model by Esperance Umuhoza, Sung-Hoon An

“…Consecutively, an ANN model that could predict the effectiveness of resilient safety was developed. …”
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Thermo-oxidative degradation of graphite/epoxy composite laminates: Modeling and long-term predictions

“…Then, the predictive capabilities of both models were demonstrated using the longer term, 5000 hours degradation data. …”
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Dynamic prediction of surface subsidence at any point based on Boltzmann time function model by Liangji XU, Zhihao SUN, Xiaopeng LIU, Kun ZHANG, Zongyou CAO

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Development and Validation of a Clinical Risk Model for Predicting Malignancy in Patients with Thyroid Nodules by Shiva Borzouei, Ali Safdari, Erfan Ayubi

“…The purpose of the current study was to develop and validate a clinical risk model to predict malignancy in patients with thyroid nodules.   …”
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Complex multifactorial prediction model for life-threatening ventricular arrhythmias in patients with myocardial infarction by E. V. Averyanova, A. A. Tonkoglaz, A. A. Chernova, N. A. Donetskaya, V. E. Oleynikov

“…To identify markers of ventricular tachycardia (VT), as well as to create a multifactorial prediction model for arrhythmic events in inpatients with myocardial infarction (MI).Material and methods. …”
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Surrogate Modeling for Building Design: Energy and Cost Prediction Compared to Simulation-Based Methods by Navid Shirzadi, Dominic Lau, Meli Stylianou

“…All three models exhibit strong predictive performance, with R² values exceeding 0.9 for both EUI and cost. …”
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Cobb angle prediction for adolescent idiopathic scoliosis via an explainable machine learning model by Yu Ding, Bin Li, Xiaoyong Guo

“…The output of the TreeExplainer provides us a richer understanding that demonstrates how a feature’s value impacts the model’s prediction for every instance. The patterns identified can substantially improve the human-artificial intelligence collaboration in the clinical management of patients with adolescent idiopathic scoliosis by preventing serious scoliosis progression and reducing healthcare costs.…”
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Retracted: Establishment of a Risk Prediction Model for Pulmonary Infection in Patients with Advanced Cancer by Applied Bionics and Biomechanics

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Full-length ribosome density prediction by a multi-input and multi-output model. by Tingzhong Tian, Shuya Li, Peng Lang, Dan Zhao, Jianyang Zeng

“…Modeling the translation elongation process in full-length coding sequence (CDS) level has not been studied to the best of our knowledge. …”
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PREDICTION TEKNOLOGI INFORMASI BERPENGARUH PADA MODEL BISNIS KEUANGAN MASA COVID-19 by Lesi Hertati, Otniel Safkaur, Afriapollo Syafarudin, Irlan Fery

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Analytical model for predictable contact in intermittently connected cognitive radio ad hoc networks by Long Zhang, Fan Zhuo, Chunhong Bai, Haitao Xu

“…In this article, an analytical model for predictable contact between two cognitive users in the intermittently connected cognitive radio ad hoc networks is proposed. …”
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The VMD-Informer-BiLSTM-EAA Hybrid Model for Predicting Zenith Tropospheric Delay by Zhengdao Yuan, Xu Lin, Yashi Xu, Ruiting Dai, Cong Yang, Lunwei Zhao, Yakun Han

“…Developing a high-accuracy ZTD prediction model is essential for both GNSS positioning and GNSS meteorology. …”
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Study on prediction model of nitrogen oxide concentration in reprocessing plant based on random forest by Xuankun Wei, Yan Xu, Xiaomeng Li, Gengxin Fan, Xuening Cheng, Tiantian Yu, Baihua Jiang

“…Feature engineering was employed to select variables, further improving the model's R2 to 0.92. The results indicate that the Random Forest model demonstrates excellent predictive performance for NOx concentration data and outperforms traditional machine learning models.…”
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A Kp‐Driven Machine Learning Model Predicting the Ultraviolet Emission Auroral Oval by Huiting Feng, Dedong Wang, Yuri Y. Shprits, Artem Smirnov, Deyu Guo, Yoshizumi Miyoshi, Stefano Bianco, Shangchun Teng, Run Shi, Su Zhou, Yongliang Zhang

“…The comparison of the three models shows that the XGBoost model performs better at predicting auroral oval locations and dealing with noise than the RF and KNN ones. …”
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Effects of ice load prediction model and thickness on the structural loads of an offshore wind turbine by Yongqing Lai, Ben He, Jieyi Ding, Na Lyu, Yang Yang

“…The effects of ice load prediction model and ice thickness on the structural loads are examined. …”
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Three-stage hybrid modeling for real-time streamflow prediction in data-scarce regions by Awad M. Ali, Mohammed Abdallah, Babak Mohammadi, Hussam Eldin Elzain

“…These findings underscore the importance of signal decomposition for refining data-driven models, facilitating better hydrological prediction and decision-making in data-scarce regions.…”
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Personalised antimicrobial susceptibility testing with clinical prediction modelling informs appropriate antibiotic use by Alex Howard, David M. Hughes, Peter L. Green, Anoop Velluva, Alessandro Gerada, Simon Maskell, Iain E. Buchan, William Hope

“…We develop and assess susceptibility prediction models for 12 antibiotics on real-world healthcare data using an individual-level simulation study. …”
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