Major vessel occlusion may predict subtherapeutic anticoagulation intensity and feasibility of administration of intravenous thrombolytics. by Jun Young Chang, Seunguk Jung, Hyun Park, Moon-Ku Han

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Machine learning approach for prediction of safe mud window based on geochemical drilling log data by Hongchen Cai, Yunliang Yu, Yingchun Liu, Xiangwei Gao

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Prediction of adverse clinical outcomes in pregnant women with severe and extremely severe forms of coronavirus infection by A. V. Shchegolev, R. E. Lakhin, A. A. Nikulin, S. G. Meshchaninova, V. F. Bezhenar

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Applying Machine Learning Techniques to Predict Drug-Related Side Effect: A Policy Brief by Esmaeel Toni MSc, Haleh Ayatollahi PhD

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Interpretable Transformer Neural Network Prediction of Diverse Environmental Time Series Using Weather Forecasts by Enrique Orozco López, David Kaplan, Anna Linhoss

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Probabilistic Prediction of Spudcan Bearing Capacity in Stiff-over-Soft Clay Based on Bayes’ Theorem by Zhaoyu Sun, Pan Gao, Yanling Gao, Jianze Bi, Qiang Gao

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Topography and land cover of watersheds predicts the distribution of the environmental pathogen Mycobacterium ulcerans in aquatic insects. by Kevin Carolan, Andres Garchitorena, Gabriel E García-Peña, Aaron Morris, Jordi Landier, Arnaud Fontanet, Philippe Le Gall, Gaëtan Texier, Laurent Marsollier, Rodolphe E Gozlan, Sara Eyangoh, Danny Lo Seen, Jean-Francois Guégan

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Hybrid Neural Network Approach with Physical Constraints for Predicting the Potential Occupancy Set of Surrounding Vehicles by Bin Sun, Shichun Yang, Jiayi Lu, Yu Wang, Xinjie Feng, Yaoguang Cao

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Prediction of Traction Requirements and Slippage Percentage for Three Plow Types under Various Operational Conditions by Mustafa F. Almoosa, Salim A. Almaliki, Salah M. S. Al-Atab

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Prediction of Traction Requirements and Slippage Percentage for Three Plow Types under Various Operational Conditions by Mustafa F. Almoosa, Salim A. Almaliki, Salah M. S. Al-Atab

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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

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Predicting the coefficient of friction in a sliding contact by applying machine learning to acoustic emission data by Robert Gutierrez, Tianshi Fang, Robert Mainwaring, Tom Reddyhoff

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IMPLEMENTATION OF BACKPROPAGATION AND HYBRID ARIMA-NN METHODS IN PREDICTING ACCURACY LEVELS OF RAINFALL IN MAKASSAR CITY by Hisyam Ihsan, Irwan Irwan, Andi Illa Erviani Nensi

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Boundary complexity of cortical and subcortical areas predicts deep brain stimulation outcomes in Parkinson’s disease by Devin Schoen, Skyler Deutsch, Juhi Mehta, Sarah Wang, John Kornak, Philip A. Starr, Doris D. Wang, Jill L. Ostrem, Ian O. Bledsoe, Melanie A. Morrison

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Differential gray matter correlates and machine learning prediction of abuse and internalizing psychopathology in adolescent females by Sara A. Heyn, Taylor J. Keding, Josh Cisler, Katie McLaughlin, Ryan J. Herringa

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Innovative Tailored Semantic Embedding and Machine Learning for Precise Prediction of Drug-Drug Interaction Seriousness by Ayman Mohamed Mostafa, Alaa S. Alaerjan, Hisham Allahem, Bader Aldughayfiq, Meshrif Alruily, Alshaimaa A. Tantawy, Mohamed Ezz

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Predicting the efficacy of chemoradiotherapy in advanced nasopharyngeal carcinoma patients: an MRI radiomics and machine learning approach by Liucheng Chen, Zhiyuan Wang, Ji Zhang, Ying Meng, Xuelian Wang, Cancan Zhao, Longshan Shen

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Machine learning-based prediction of antimicrobial resistance and identification of AMR-related SNPs in Mycobacterium tuberculosis by Yi Xu, Ying Mao, Xiaoting Hua, Yan Jiang, Yi Zou, Zhichao Wang, Zubi Liu, Hongrui Zhang, Lingling Lu, Yunsong Yu

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The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review by Norah Hamad Alhumaidi, Doni Dermawan, Hanin Farhana Kamaruzaman, Nasser Alotaiq

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Lipid-Metabolism-Related Gene Signature Predicts Prognosis and Immune Microenvironment Alterations in Endometrial Cancer by Zhangxin Wu, Yufei Nie, Deshui Kong, Lixiang Xue, Tianhui He, Kuaile Zhang, Jie Zhang, Chunliang Shang, Hongyan Guo

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