THE ALTERNATIVE TOOLS FOR PREDICTION OF CARDIOVASCULAR RISK IN OBESITY: FOCUS ON ARTERIAL STIFFNESS by M. A. Druzhilov, O. Yu. Druzhilova, V. V. Otmakhov, T. Yu. Kuznetsova

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Machine learning-based prediction of LDL cholesterol: performance evaluation and validation by Jing-Bi Meng, Zai-Jian An, Chun-Shan Jiang

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Comparative analysis of ensemble learning techniques for enhanced fatigue life prediction by Sasan Farhadi, Samuele Tatullo, Francesco Ferrian

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IDMPF: intelligent diabetes mellitus prediction framework using machine learning by Leila Ismail, Huned Materwala

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Predicting autism from written narratives using deep neural networks by Izabela Chojnicka, Aleksander Wawer

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Machine-Learning Methods Estimating Flights’ Hidden Parameters for the Prediction of KPIs by George Vouros, Ioannis Ioannidis, Georgios Santipantakis, Theodore Tranos, Konstantinos Blekas, Marc Melgosa, Xavier Prats

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Understanding and predicting COVID-19 clinical trial completion vs. cessation. by Magdalyn E Elkin, Xingquan Zhu

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Comparative analysis of machine learning approaches for heatwave event prediction in India by Ritesh Choudary V, Anita Christaline Johnvictor, Prem Sankar N

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Contextual bandits to increase user prediction accuracy in movie recommendation system by Chen Yizhe

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Development and external validation of prediction algorithms to improve early diagnosis of cancer by J. Hippisley-Cox, CA Coupland

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Evaluation of polygenic prediction methodology within a reference-standardized framework. by Oliver Pain, Kylie P Glanville, Saskia P Hagenaars, Saskia Selzam, Anna E Fürtjes, Héléna A Gaspar, Jonathan R I Coleman, Kaili Rimfeld, Gerome Breen, Robert Plomin, Lasse Folkersen, Cathryn M Lewis

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High-resolution fundus images for ophthalmomics and early cardiovascular disease prediction by Na Guo, Wanjin Fu, Heng Li, Haoyun Zhang, Tiantian Li, Wei Zhang, Xing Zhong, Tianrong Pan, Fuchun Sun, Ajuan Gong

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Xenon anaesthesia is associated with a reduction in frontal electroencephalogram peak alpha frequency by Steven McGuigan, Andria Pelentritou, David A. Scott, Jamie Sleigh

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Enhanced Neutrosophic Set and Machine Learning Approach for Breast Cancer Prediction by Ashika T, Hannah Grace, Nivetha Martin, Florentin Smarandache

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Deep learning tools predict variants in disordered regions with lower sensitivity by Federica Luppino, Swantje Lenz, Chi Fung Willis Chow, Agnes Toth-Petroczy

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A Comparative Analysis of Machine Learning Algorithms in Energy Poverty Prediction by Elpida Kalfountzou, Lefkothea Papada, Christos Tourkolias, Sevastianos Mirasgedis, Dimitris Kaliampakos, Dimitris Damigos

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Deep learning approaches for time series prediction in climate resilience applications by Cai Chen, Jin Dong

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SMART DELAY PREDICTION: SUPERVISED MACHINE LEARNING SOLUTIONS FOR CONSTRUCTION PROJECTS by Pramodini Sahu, Dillip Kumar Bera, Pravat Kumar Parhi, Meenakshi Kandpal

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Research Progress of Machine Learning in Deep Foundation Pit Deformation Prediction by Xiang Wang, Zhichao Qin, Xiaoyu Bai, Zengming Hao, Nan Yan, Jianyong Han

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Prediction of Environmentally Suitable Areas for <i>Zephyranthes</i> (Amaryllidaceae) in Mexico by Zayner Edin Rodríguez Flores, Yanet Moredia Rosete, Jesús Alejandro Ruiz Valencia, Yolanda Leticia Fernández Pavía

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