Search Results - "Machine Learning"

TOWARD PLACENTAL REGION IDENTIFICATION AND BLOOD VESSEL CLASSIFICATION USING MACHINE LEARNING by Brian Vadasz, Lee A. Cooper, Jeffery A. Goldstein

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Machine learning‐directed electrical impedance tomography to predict metabolically vulnerable plaques by Justin Chen, Shaolei Wang, Kaidong Wang, Parinaz Abiri, Zi‐Yu Huang, Junyi Yin, Alejandro M. Jabalera, Brian Arianpour, Mehrdad Roustaei, Enbo Zhu, Peng Zhao, Susana Cavallero, Sandra Duarte‐Vogel, Elena Stark, Yuan Luo, Peyman Benharash, Yu‐Chong Tai, Qingyu Cui, Tzung K. Hsiai

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Research of insomnia on traditional Chinese medicine diagnosis and treatment based on machine learning by Yuqi Tang, Zechen Li, Dongdong Yang, Yu Fang, Shanshan Gao, Shan Liang, Tao Liu

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Neonatal mortality prediction with routinely collected data: a machine learning approach by André F. M. Batista, Carmen S. G. Diniz, Eliana A. Bonilha, Ichiro Kawachi, Alexandre D. P. Chiavegatto Filho

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Enabling Early Obstructive Sleep Apnea Diagnosis With Machine Learning: Systematic Review by Daniela Ferreira-Santos, Pedro Amorim, Tiago Silva Martins, Matilde Monteiro-Soares, Pedro Pereira Rodrigues

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A systematic review of data mining and machine learning for air pollution epidemiology by Colin Bellinger, Mohomed Shazan Mohomed Jabbar, Osmar Zaïane, Alvaro Osornio-Vargas

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Revealing novel pyroptosis-related therapeutic targets for sepsis based on machine learning by Ying Chen, Xingkai Wang, Jiaxin Wang, Junwei Zong, Xianyao Wan

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The Synergy of Machine Learning and Epidemiology in Addressing Carbapenem Resistance: A Comprehensive Review by Aikaterini Sakagianni, Christina Koufopoulou, Petros Koufopoulos, Georgios Feretzakis, Dimitris Kalles, Evgenia Paxinou, Pavlos Myrianthefs, Vassilios S. Verykios

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Prediction of Antidepressant Treatment Response and Remission Using an Ensemble Machine Learning Framework by Eugene Lin, Po-Hsiu Kuo, Yu-Li Liu, Younger W.-Y. Yu, Albert C. Yang, Shih-Jen Tsai

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Using machine learning to identify COVID-19 vaccine-hesitancy predictors in the USA by Enrique M Saldarriaga

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Research status and prospect of tongue image diagnosis analysis based on machine learning by X.U. Jiatuo, J.I.A.N.G. Tao, L.I.U. Shi

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Machine learning-driven discovery of novel therapeutic targets in diabetic foot ulcers by Xin Yu, Zhuo Wu, Nan Zhang

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Corrigendum: The relationship between heavy metals and metabolic syndrome using machine learning by Jun Yao, Zhilin Du, Fuyue Yang, Ran Duan, Ran Duan, Tong Feng

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Spatial Clusters of Cancer Mortality in Brazil: A Machine Learning Modeling Approach by Bruno Casaes Teixeira, Tatiana Natasha Toporcov, Francisco Chiaravalloti-Neto, Alexandre Dias Porto Chiavegatto Filho

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Individual Factors Associated With COVID-19 Infection: A Machine Learning Study by Tania Ramírez-del Real, Tania Ramírez-del Real, Mireya Martínez-García, Manlio F. Márquez, Laura López-Trejo, Guadalupe Gutiérrez-Esparza, Guadalupe Gutiérrez-Esparza, Enrique Hernández-Lemus, Enrique Hernández-Lemus

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Machine learning classification of false-positive human immunodeficiency virus screening results by Mahmoud Elkhadrawi, Bryan A Stevens, Bradley J Wheeler, Murat Akcakaya, Sarah Wheeler

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Explainable machine learning prediction of edema adverse events in patients treated with tepotinib by Federico Amato, Rainer Strotmann, Roberto Castello, Rolf Bruns, Vishal Ghori, Andreas Johne, Karin Berghoff, Karthik Venkatakrishnan, Nadia Terranova

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Machine learning-based analysis and prediction of meteorological factors and urban heatstroke diseases by Hui Xu, Shufang Guo, Xiaojun Shi, Yanzhen Wu, Junyi Pan, Han Gao, Yan Tang, Aiqing Han

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Efficient Machine Learning and Deep Learning Techniques for Detection of Breast Cancer Tumor by Dlshad Abdalrahman Mahmood, Sadegh Abdullah Aminfar

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INTRAEPITHELIAL LYMPHOCYTOSIS QUANTIFICATION BY MACHINE LEARNING IN CELIAC DISEASE. A CELAC STUDY by Julie Bruneau, Sarah Makri, Pierre Isnard, Shérine Khater, LudovicLhermitte, Saima Ben Hadj, Laura Stantinat, Nicolas Goudin, Vahid Asnafi, Christophe Cellier, Olivier Hermine, Thierry-Jo Molina

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