Predicting the frost heaving of bottom ash value for road design by A. A. Lunev, D. A. Razuvaev, V. V. Golubenko, M. G. Chakhlov

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Predicting metabolite response to dietary intervention using deep learning by Tong Wang, Hannah D. Holscher, Sergei Maslov, Frank B. Hu, Scott T. Weiss, Yang-Yu Liu

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Predict Diabetes Using Voting Classifier and Hyper Tuning Technique by Chra Ali Kamal, Manal Ali Atiyah

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Bedside clinical prediction tool for mortality in critically ill children. by Kanokkarn Sunkonkit, Chatree Chai-Adisaksopha, Rungrote Natesirinilkul, Phichayut Phinyo, Konlawij Trongtrakul

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Predictive value of an unsupervised web-based assessment of the neuropsychological function by Michelle Werrmann, Yesim Gür-Tok, Michael Eid, Michael Niedeggen

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Prediction of Landslide Susceptibility in the Karakorum under the Context of Climate Change by Yanqian Pei, Haijun Qiu, Yaru Zhu

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Wireless Channel Prediction Using Artificial Intelligence With Imperfect Datasets by Gowhar Javanmardi, Ramiro Samano Robles

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The role of novel risk-scoring systems in predicting the efficacy of immunotherapy by Yu.V. Moskalenko

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Impact of stain variation and color normalization for prognostic predictions in pathology by Siyu Lin, Haowen Zhou, Mark Watson, Ramaswamy Govindan, Richard J. Cote, Changhuei Yang

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Prediction of cardiac conduction disorders using the methods of mathematical analysis by S. Yu. Nikulina, A. A. Chernova, S. S. Tretyakova, D. A. Nikulin

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Predicting the thickness of shallow landslides in Switzerland using machine learning by C. Schaller, C. Schaller, L. Dorren, M. Schwarz, C. Moos, A. C. Seijmonsbergen, E. E. van Loon

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Machine Learning System for Predicting Cardiovascular Disorders in Diabetic Patients by A. Mayya, H. Solieman

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The Satellite Risk Prediction and Radiation Forecast System (SaRIF) by Richard B. Horne, Sarah A. Glauert, Peter Kirsch, Daniel Heynderickx, Suzy Bingham, Peter Thorn, Babara‐Ann Curran, David Pitchford, Ewan Haggarty, David Wade, Ralf Keil

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Inositol polyphosphates regulate and predict yeast pseudohyphal growth phenotypes. by Kaitlyn L Norman, Christian A Shively, Amberlene J De La Rocha, Nebibe Mutlu, Sukanya Basu, Paul J Cullen, Anuj Kumar

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Charlson comorbidity index in predicting deaths in COVID-19 patients by A. V. Svarovskaya, А. O. Shabelsky, Artem V. Levshin

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In silico prediction of HIV-1-host molecular interactions and their directionality. by Haiting Chai, Quan Gu, Joseph Hughes, David L Robertson

“…A web server for performing predictions is available at http://hivpre.cvr.gla.ac.uk/.…”
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Predicting and preventing sudden cardiac death in myocardial infarction patients by S. A. Boldueva, A. V. Shabrov, D. S. Lebedev, T. Ya. Burak, I. A. Leonova, M. V. Samokhvalova, V. S. Zhuk, E. G. Bykova

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Analysis and prediction of atmospheric ozone concentrations using machine learning by Stephan Räss, Stephan Räss, Markus C. Leuenberger, Markus C. Leuenberger

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Application of Deep Learning Framework for Early Prediction of Diabetic Retinopathy by Fahad Mostafa, Hafiz Khan, Fardous Farhana, Md Ariful Haque Miah

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Application of Artificial Intelligence Algorithms in the Field of Antimicrobial Peptide Prediction by QIAN Yuchen, NIE Ting, HUA Yanming, XU Shiying, GUO Sheng, ZHANG Xin, LUO Xiaohu, LIU Yanan

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