Development and validation of a risk model for prediction of hazardous alcohol consumption in general practice attendees: the predictAL study. by Michael King, Louise Marston, Igor Švab, Heidi-Ingrid Maaroos, Mirjam I Geerlings, Miguel Xavier, Vicente Benjamin, Francisco Torres-Gonzalez, Juan Angel Bellon-Saameno, Danica Rotar, Anu Aluoja, Sandra Saldivia, Bernardo Correa, Irwin Nazareth

“…We aimed to develop a prediction model (predictAL) for the development of hazardous drinking in safe drinkers.…”
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Vehicle Stability Control Based on Model Predictive Control Considering the Changing Trend of Tire Force Over the Prediction Horizon by Shaosong Li, Guodong Wang, Bangcheng Zhang, Zhixin Yu, Gaojian Cui

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Can we predict hypoadrenocorticism in dogs with resting hypocortisolemia? A predictive model based on clinical, haematological, and biochemical variables by Nuno Sousa Santos, Tiago Dias Domingues, Antonio Maria Tardo, Marta Dinis, Luísa Mateus, Federico Fracassi, Rodolfo Oliveira Leal, Rodolfo Oliveira Leal

“…Descriptive analysis was performed along with a predictive model, using univariable and multivariable logistic regression analysis.ResultsOf the 92 included dogs, hypoadrenocorticism was diagnosed in 29 patients (32.2%) based on ACTHst results (HA group). …”
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Integrating high dimensional quadratic regression with penalties based predictive modeling for hydro power plants accurate tariff prediction by Ritesh Dash, Anupa Sinha, Abinash Mahapatro, Bhabasis Mohapatra, Binod Kumar Sahu

“…This study presents a novel high dimensional quadratic regression with penalty based predictive model for forecasting generation cost and selling price per unit in hydroelectric energy systems. …”
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A Novel Energy Consumption Prediction Model Integrating Real-Time Traffic State Recognition and Velocity Prediction of BEVs by Yue Li, Yu Jiang, Jianhua Guo, Dong Xie

“…The widespread adoption of battery electric vehicles (BEVs) has highlighted the critical importance of precise energy consumption prediction models to address the problem of range anxiety among drivers. …”
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A Visualized Nomogram to Predict the Risk of Acute Ischemic Stroke Among Patients With Cervical Artery Dissection by Li C, Guan J, Zhao Q, Li J, Wang Y, Zhao K

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Empc-based V2G scheduling strategy for multi-attribute EVs aggregator by Haoyang Tang, Zhilu Liu, Lin Zheng, Jianfeng Zheng, Hao Hu, Jinpei Lu, Zhijian Hu

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Data-Driven Enhancements for MPC-Based Path Tracking Controller in Autonomous Vehicles by Jianhua Guo, Zhihao Xie, Ming Liu, Jincheng Hu, Zhiyuan Dai, Jinqiu Guo

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Morphometric prediction of maximum cannibal-prey size for larvae of matrinxã, Brycon amazonicus (Spix and Agassiz, 1829) by R. L. Muller, F. F. Ribeiro, T. B. Carvalho

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Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of depression in stroke patients by Wenwei Zuo, Xuelian Yang

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Explainable machine learning and online calculators to predict heart failure mortality in intensive care units by An‐Tian Chen, Yuhui Zhang, Jian Zhang

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Minimum Snap Trajectory Planning and Augmented MPC for Morphing Quadrotor Navigation in Confined Spaces by Chaojun Qin, Na Zhao, Qiuyu Wang, Yudong Luo, Yantao Shen

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Risk Factors and Predictive Model for Ischemic Complications in Endovascular Treatment of Intracranial Aneurysms: Insights From a Large Patient Cohort by Jianwen Jia, Zeping Jin, Mirzat Turhon, Yixin Lin, Xinjian Yang, Yang Wang, Yunpeng Liu

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Prediction of esophageal fistula in radiotherapy/chemoradiotherapy for patients with advanced esophageal cancer by a clinical-deep learning radiomics model by Yuxin Zhang, Xu Cheng, Xianli Luo, Ruixia Sun, Xiang Huang, Lingling Liu, Min Zhu, Xueling Li

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Non-Surgical Options for The Diagnosis of Endometriosis in Low-Resource Settings: A Comparative Study by Marlina D, Utomo A, Poernomo MAPD, Adriansyah PNA, Amri BS, Susilo AFP, Aziz MA

Subjects: “…Predictive Model…”
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Enhancing Predictive Tools for Skeletal Growth and Craniofacial Morphology in Syndromic Craniosynostosis: A Focus on Cranial Base Variables by Lantian Zheng, Norli Anida Abdullah, Norlisah Mohd Ramli, Nur Anisah Mohamed, Mohamad Norikmal Fazli Hisam, Firdaus Hariri

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Nomogram for spontaneous reduction in pediatric intussusception: a retrospective study by Guangyu Wang, Zhongce Li, Guangqi Duan, Bangzhi Sui, Zhiyuan Jin, Zhenjie Chu, Rui Tang, Xiao Wang, Honglong Ma, Shiqin Qi, Jie Liu

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An observational study to develop a scoring system and model to detect risk of hospital admission due to COVID‐19 by Zhe Chen, Nicholas W. Russo, Matthew M. Miller, Robert X. Murphy, David B. Burmeister

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Can individual functional improvements be predicted in osteoarthritic patients after total knee arthroplasty? by Sung Eun Kim, Du Hyun Ro, Myung Chul Lee, Hyuk-Soo Han

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The development and validation of a column chart for predicting the regression risk of CIN2 by Jingjing Ren, Hui Wang, Xiu Zhang, Min Hao

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