Development and clinical application of an automated machine learning-based delirium risk prediction model for emergency polytrauma patients by Zhenyi Liu, Yihao Huang, Long Li, Yisha Xu, Peng Wu, Zhigang Zhang, Tingyong Han, Liangjie Zhang, Ming Zhang

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Predictive Control for an Ankle Rehabilitation Robot Using Differential Evolution Optimization Algorithm-Based Fuzzy NARX Model by Shenglong Xie, Haiming Zhong, Yuntang Li, Su'an Xu, Wenyuan Liu, Shiyuan Bian, Shiwu Zhang

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An Atmospheric Signal Lowering the Spring Predictability Barrier in Statistical ENSO Forecasts by Dmitry Mukhin, Andrey Gavrilov, Aleksei Seleznev, Maria Buyanova

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Research on Lifespan Prediction Methods Using Ultrasonic Microimaging for Electronic Packaging by Haotian Wang, Hongwei Ma, Guangming Zhang, Yuan Chen, Ming Dong

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Hybrid Deep Learning Approaches for Improved Genomic Prediction in Crop Breeding by Ran Li, Dongfeng Zhang, Yanyun Han, Zhongqiang Liu, Qiusi Zhang, Qi Zhang, Xiaofeng Wang, Shouhui Pan, Jiahao Sun, Kaiyi Wang

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Exploratory Modeling of Intraoperative Co-oximetry Data for Predicting Hemodynamic Trends in a Thalassemic Patient: A Pilot Case by Kunal K. Sharma, Kotipi Rajagopal M. Reddy

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Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study by Shayan Nejadshamsi, Vania Karami, Negar Ghourchian, Narges Armanfard, Howard Bergman, Roland Grad, Machelle Wilchesky, Vladimir Khanassov, Isabelle Vedel, Samira Abbasgholizadeh Rahimi

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Highly concentrated iron ore slurry flow through pipeline with and without chemical additive; part I: Experimental investigations and proposed model for the prediction of pressure... by Mishra Stuti, Kaushal Deo Raj

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Predicting South African consumers’ intention to continue using their preferred retail bank’s services: A model validation by Marko van Deventer, Kirsty-Lee Sharp, Rafał Żelazny, Sebastian Kot

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Tuned Generalised <i>k</i>-<i>ω</i> (GEKO) Turbulence Model Parameters for Predicting Transitional Flow Through Stenosis Geometries of Various Degrees by Jake Emmerling, Sara Vahaji, David A. V. Morton, Svetlana Stevanovic, David F. Fletcher, Kiao Inthavong

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A nomogram-based clinical prediction model for adverse clinical outcomes in non-HIV Pneumocystis jirovecii pneumonia patients by Dong Wang, Lujia Guan, Qian Yin, Xiaoxia Hou, Xi Zhan, Zhaohui Tong

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A scoring system with high predictive performance for poor outcomes in acute carbon monoxide poisoning by Hidetaka Onda, Takuya Nishino, Mizuki Kojima, Nodoka Miyake, Kenta Shigeta, Naoki Tominaga, Shoji Yokobori

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Risk Model for Predicting Gaps in Surgical Oncology Care Among Patients With Stage I-III Rectal Cancer From KwaZulu-Natal, South Africa by Yoshan Moodley, Willie Brink, Jacqueline van Wyk, Shakeel Kader, Steven D. Wexner, Alfred I. Neugut, Ravi P. Kiran

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The development and validation of a multivariable model to predict the bleeding risk score for patients with non-valvular atrial fibrillation using direct oral anticoagulants in th... by Maha AlAmmari, Khizra Sultana, Abdulrahman Alturaiki, Abin Thomas, Monirah AlBabtain, Fakahr AlAyoubi, Hanie Richi

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Predictive analysis of all-cause mortality of previously untreated pulmonary tuberculosis patients complicated by hypertension by Anhua Cao, You Nie, Zhun Zhong, Yi Pei, Yi Pei, Ping Deng, Hebin Xie, Yiping Leng, Yiping Leng

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Predicting the spread of contamination in water distribution networks laid on sloping terrains by Jamil R., Abdul Aziz H., Murshed M.F.

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Individualized prediction of stroke-associated pneumonia for patients with acute ischemic stroke by Lulu Zhang, Qi Wang, Qi Wang, Yidan Li, Qi Fang, Xiang Tang

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Construction and validation of a predictive model for intracardiac thrombus risk in patients with dilated cardiomyopathy: a retrospective study by Xuetao Zhu, Jun Li, Yi Jiang, Tianqi Wang, Zeping Hu

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A Machine Learning‐Based Approach to Quantify ENSO Sources of Predictability by Ioana Colfescu, Hannah Christensen, David John Gagne

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A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques by Cong Peng, Cheng Gong, Xiaoya Zhang, Duxian Liu

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