On the development of a systemic (biopsychosocial) prediction model for cardiovascular disease. Part I by O. Yu. Shchelkova, M. V. Iakovleva, D. A. Eremina, R. Yu. Shindrikov, N. E. Kruglova, I. A. Gorbunov, E. A. Demchenko

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Risk factors for infections in patients with lupus nephritis and construction of a prediction model by Liu Ding-lin, Zhang Wen-hao, Hu Hao-fei, Li Ai-ting, Chen Zhi-jin, Zheng Cai-yan, Qin Le-le, Zhang Li, Li Rui-zhao, Ye Zhi-ming

“…Cox proportional risk regression model was used to analyze the factors affecting secondary infections.ResultsThe mean age of the included patients was （30 ± 12）years， and 85.3% of them were female. …”
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Study on the temperature prediction model of residual coal in goaf based on ACO-KELM by ZHAI Xiaowei, WANG Chen, HAO Le, LI Xintian, HOU Qinyuan, MA Teng

“…To address this gap, a prediction model based on ant colony optimization (ACO) and kernel extreme learning machine (KELM) (ACO-KELM) was proposed. …”
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Integrating Bayesian and neural networks models for eye movement prediction in hybrid search by Gonzalo Ruarte, Gaston Bujia, Damián Care, Matias Julian Ison, Juan Esteban Kamienkowski

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Near viewing behaviors predict educational system in a machine learning model by Ravid Doron, Einat Shneor, Lisa A. Ostrin, Ariela Gordon-Shaag, Ayelet Goldstein

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Evaluation of machine learning models for predicting performance metrics of aero-engine combustors by Huan Yang, Shu Guo, Haolin Xie, Jian Wen, Jiarui Wang

“…The Extra Tree model exhibits superior predictive accuracy for various combustor performance metrics. …”
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A Multivariate prediction model for amlodipine therapeutic efficacy in pediatric primary hypertension by Yao Lin, Hui Wang, Yaqi Li, Yang Liu, Yanyan Liu, Hongwei Zhang, Yanjun Deng, Lin Shi

“…BackgroundThere are currently no biomarker-based prediction models for amlodipine therapeutic efficacy in pediatric hypertension. …”
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A Multistep Prediction of Hydropower Station Inflow Based on Bagging-LSTM Model by Lulu Wang, Hanmei Peng, Mao Tan, Rui Pan

“…Compared with the classical time series models, the results show that the proposed model outperforms them on different accuracy metrics, especially in the scenario of multistep prediction.…”
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Dynamic Route Choice Prediction Model Based on Connected Vehicle Guidance Characteristics by Jiangfeng Wang, Jiarun Lv, Chao Wang, Zhiqi Zhang

“…A route choice prediction model is proposed considering the connected vehicle guidance characteristics. …”
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Improving Streamflow Prediction Using Multiple Hydrological Models and Machine Learning Methods by Hiren Solanki, Urmin Vegad, Anuj Kushwaha, Vimal Mishra

“…Abstract Streamflow prediction is crucial for flood monitoring and early warning, which often hampered by bias and uncertainties arising from nonlinear processes, model parameterization, and errors in meteorological forecast. …”
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Prediction Financial Distress: The Pro-Technology Technique of Altman Z-Score Model by Zalina Zainudin, Haslina Hassan, Morni Hayati Jaafar Sidik, Syeliya Md. Zaini

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An interpretable and stacking ensemble model for predicting heat and mass transfer of desiccant wheel by Mengyang Li, Liu Chen

“…In order to design, simulate and optimize the solid desiccant air conditioning system, an accurate model of desiccant wheel must be established. A prediction model by stacking ensemble learning for desiccant wheel is presented. …”
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GPS-pPLM: A Language Model for Prediction of Prokaryotic Phosphorylation Sites by Chi Zhang, Dachao Tang, Cheng Han, Yujie Gou, Miaomiao Chen, Xinhe Huang, Dan Liu, Miaoying Zhao, Leming Xiao, Qiang Xiao, Di Peng, Yu Xue

“…Here, we report an updated online server named the group-based prediction system for prokaryotic phosphorylation language model (GPS-pPLM), used for predicting phosphorylation sites (p-sites) in prokaryotes. …”
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Vessel Trajectory Prediction Method Based on the Time Series Data Fusion Model by Xinyun WU, Jiafei CHEN, Caiquan XIONG, Donghua LIU, Xiang WAN, Zexi CHEN

“…Deep learning techniques have been widely applied to vessel trajectory prediction tasks due to their advantages in fine-grained feature learning and time series modelling. …”
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Novel hybrid and weighted ensemble models to predict river discharge series with outliers by Maha Shabbir, Sohail Chand, Farhat Iqbal

“…Lastly, using the mean absolute error (MAE) weights of HVK, HVA and HEM predictions, the HVK-HEM and HVA-HEM models were formulated. …”
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Prediction Model of Weekly Retail Price for Eggs Based on Chaotic Neural Network by Zhe-min LI, Li-guo CUI, Shi-wei XU, Ling-yun WENG, Xiao-xia DONG, Gan-qiong LI, Hai-peng YU

“…This paper establishes a short-term prediction model of weekly retail prices for eggs based on chaotic neural network with the weekly retail prices of eggs from January 2008 to December 2012 in China. …”
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RecurrentOcc: An Efficient Real-Time Occupancy Prediction Model with Memory Mechanism by Zimo Chen, Yuxiang Xie, Yingmei Wei

“…Three-dimensional Occupancy Prediction provides a detailed representation of the surrounding environment, essential for autonomous driving. …”
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Interpretable machine learning models for prolonged Emergency Department wait time prediction by Hao Wang, Nethra Sambamoorthi, Devin Sandlin, Usha Sambamoorthi

“…Our aim is to perform a comprehensive analysis of ML models for ED wait time prediction, identify key feature importance and associations with prolonged wait times, and interpret prediction model clinical relevance among ED patients. …”
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Ordinal versus nominal regression models and the problem of correctly predicting draws in soccer by Hvattum L. M.

“…However, in practice, this flaw does not seem to have a substantial effect on the predictive accuracy of an ordered logit regression model when compared to a multinomial logistic regression model.…”
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Mortality predicting models for patients with infective endocarditis: a machine learning approach by Yang Zi-yang, Wang Qi, Xingyan Liu, Haolin Li, Shouhong Wang, Danqing Yu, Xuebiao Wei

Subjects: “…Model prediction…”
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