Search Results - "Machine"

Psychosocial and Physiological Factors Affecting Selection to Regional Age-Grade Rugby Union Squads: A Machine Learning Approach by Julian Owen, Robin Owen, Jessica Hughes, Josh Leach, Dior Anderson, Eleri Jones

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Machine Learning-Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study by Xiao-Qin Luo, Yi-Xin Kang, Shao-Bin Duan, Ping Yan, Guo-Bao Song, Ning-Ya Zhang, Shi-Kun Yang, Jing-Xin Li, Hui Zhang

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SperoPredictor: An Integrated Machine Learning and Molecular Docking-Based Drug Repurposing Framework With Use Case of COVID-19 by Faheem Ahmed, Jae Wook Lee, Jae Wook Lee, Anupama Samantasinghar, Young Su Kim, Kyung Hwan Kim, In Suk Kang, Fida Hussain Memon, Jong Hwan Lim, Kyung Hyun Choi, Kyung Hyun Choi

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Using machine learning to determine age over 16 based on development of third molar and periodontal ligament of second molar by Shihui Shen, Zhuojun Zhou, Jian Wang, Linfeng Fan, Junli Han, Jiang Tao

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Offline Evaluation Matters: Investigation of the Influence of Offline Performance on Real-Time Operation of Electromyography-Based Neural-Machine Interfaces by Robert M. Hinson, Joseph Berman, William Filer, Derek Kamper, Xiaogang Hu, He Huang

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Analysis of potential genetic biomarkers using machine learning methods and immune infiltration regulatory mechanisms underlying atrial fibrillation by Li-Da Wu, Feng Li, Jia-Yi Chen, Jie Zhang, Ling-Ling Qian, Ru-Xing Wang

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Evaluation of compliance with the self-regulation agreement of the food and drink vending machine sector in primary schools in Madrid, Spain, in 2008 by Miguel A. Royo-Bordonada, María A. Martínez-Huedo

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Development and validation of a machine learning-based prognostic model for IgA nephropathy with CKD stage 3 or 4 by Zixian Yu, Xiaoxuan Ning, Yunlong Qin, Yan Xing, Qing Jia, Jinguo Yuan, Yumeng Zhang, Jin Zhao, Shiren Sun

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Machine Learning-Based Automatic Classification of Video Recorded Neonatal Manipulations and Associated Physiological Parameters: A Feasibility Study by Harpreet Singh, Satoshi Kusuda, Ryan M. McAdams, Shubham Gupta, Jayant Kalra, Ravneet Kaur, Ritu Das, Saket Anand, Ashish Kumar Pandey, Su Jin Cho, Satish Saluja, Justin J. Boutilier, Suchi Saria, Jonathan Palma, Avneet Kaur, Gautam Yadav, Yao Sun

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Epidemiology and a Predictive Model of Prognosis Index Based on Machine Learning in Primary Breast Lymphoma: Population-Based Study by Yushuai Yu, Zelin Xu, Tinglei Shao, Kaiyan Huang, Ruiliang Chen, Xiaoqin Yu, Jie Zhang, Hui Han, Chuangui Song

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Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study by Guoqing Huang, Qiankai Jin, Yushan Mao

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Improvement of special training of weight-lifters by means of various groove machines in the preparatory period at the stage of preliminary basic preparation by Oleksandr Piven

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Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation by Zhao, Yiqing, Fu, Sunyang, Bielinski, Suzette J, Decker, Paul A, Chamberlain, Alanna M, Roger, Veronique L, Liu, Hongfang, Larson, Nicholas B

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The Development and Validation of Simplified Machine Learning Algorithms to Predict Prognosis of Hospitalized Patients With COVID-19: Multicenter, Retrospective Study by Fang He, John H Page, Kerry R Weinberg, Anirban Mishra

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Novel bioinformatic methods and machine learning approaches reveal candidate biomarkers of the intensity and timing of past exposure to Plasmodium falciparum. by Sophie Bérubé, Tamaki Kobayashi, Douglas E Norris, Ingo Ruczinski, William J Moss, Amy Wesolowski, Thomas A Louis

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Exploring acetylation-related gene markers in polycystic ovary syndrome: insights into pathogenesis and diagnostic potential using machine learning by Jiqing Wang, Yuqing Wang, Shanshan Li, Xiaoqin Fang, Chaoyue Zhang, Zuqing Wang, Yi Zheng, Hanzhi Deng, Shifen Xu, Yiqun Mi

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Tumor-identification method for predicting recurrence of early-stage lung adenocarcinoma using digital pathology images by machine learning by Hideharu Hattori, Shingo Sakashita, Masahiro Tsuboi, Genichiro Ishii, Toshiyuki Tanaka

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Nutritional quality of beverages available in vending machines in health and social care institutions: do we really want such offers? by Urška Rozman, Nataša Fidler Mis, Urška Pivk Kupirovič, Igor Pravst, Primož Kocbek, Maja Strauss, Sonja Šostar Turk

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Commentary: Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2 by a machine learning approach by Noemi Salmeri, Massimo Candiani, Paolo Ivo Cavoretto

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Predicting adverse birth outcome among childbearing women in Sub-Saharan Africa: employing innovative machine learning techniques by Habtamu Setegn Ngusie, Shegaw Anagaw Mengiste, Alemu Birara Zemariam, Bogale Molla, Getanew Aschalew Tesfa, Binyam Tariku Seboka, Tilahun Dessie Alene, Jing Sun

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