Search Results - "Machine Learning"

Feature importance for estimating rating of perceived exertion from cardiorespiratory signals using machine learning by Runbei Cheng, Phoebe Haste, Elyse Levens, Jeroen Bergmann, Jeroen Bergmann

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Identifying functional subtypes of IgA nephropathy based on three machine learning algorithms and WGCNA by Hongbiao Ren, Wenhua Lv, Zhenwei Shang, Liangshuang Li, Qi Shen, Shuai Li, Zerun Song, Xiangshu Cheng, Xin Meng, Rui Chen, Ruijie Zhang

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Identification of Potential Ferroptosis Biomarkers and Analysis of Immune Cell Infiltration in Psoriasis Using Machine Learning by Wu X, Sun Y, Wei S, Hu H, Yang B

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Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study by Sultana, Madeena, Al-Jefri, Majed, Lee, Joon

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Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study by Zachary D King, Han Yu, Thomas Vaessen, Inez Myin-Germeys, Akane Sano

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Community screening for dementia among older adults in China: a machine learning-based strategy by Yan Zhang, Jian Xu, Chi Zhang, Xu Zhang, Xueli Yuan, Wenqing Ni, Hongmin Zhang, Yijin Zheng, Zhiguang Zhao

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ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application by Rajib Kumar Halder, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal, Sajeeb Saha, Rakib Hossen, Sabbir Ahmed, Mohammad Abu Tareq Rony, Mosammat Farida Akter

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Elicitation of domain knowledge for a machine learning model for paediatric critical illness in South Africa by Michael A. Pienaar, Joseph B. Sempa, Nicolaas Luwes, Elizabeth C. George, Stephen C. Brown

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Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study by Nathan A Chi, Peter Washington, Aaron Kline, Arman Husic, Cathy Hou, Chloe He, Kaitlyn Dunlap, Dennis P Wall

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Predicting non-chemotherapy drug-induced agranulocytosis toxicity through ensemble machine learning approaches by Xiaojie Huang, Xiaochun Xie, Shaokai Huang, Shanshan Wu, Lina Huang

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Radiomic and Genomic Machine Learning Method Performance for Prostate Cancer Diagnosis: Systematic Literature Review by Castaldo, Rossana, Cavaliere, Carlo, Soricelli, Andrea, Salvatore, Marco, Pecchia, Leandro, Franzese, Monica

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Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review by Alper Idrisoglu, Ana Luiza Dallora, Peter Anderberg, Johan Sanmartin Berglund

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Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study by Bo Zhang, Kaiwen Deng, Jie Shen, Lingrui Cai, Bohdana Ratitch, Haoda Fu, Yuanfang Guan

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Identifying active travel behaviors in challenging environments using GPS, accelerometers and machine learning algorithms by Katherine eEllis, Suneeta eGodbole, Simon eMarshall, Gert eLanckriet, John eStaudenmayer, Jacqueline eKerr

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Macrophage-Related Gene Signatures for Predicting Prognosis and Immunotherapy of Lung Adenocarcinoma by Machine Learning and Bioinformatics by Xiang Y, Wang G, Liu B, Zheng H, Liu Q, Ma G, Du J

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Performance of a Machine Learning Algorithm on Lesions with a High Preoperative Suspicion of Invasive Melanoma by Filippos Giannopoulos, Martin Gillstedt, Sofia Lindskogen, John Paoli, Sam Polesie

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Combining Medicinal Plant In Vitro Culture with Machine Learning Technologies for Maximizing the Production of Phenolic Compounds by Pascual García-Pérez, Eva Lozano-Milo, Mariana Landín, Pedro Pablo Gallego

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The role of machine learning in health policies during the COVID-19 pandemic and in long COVID management by Lindybeth Sarmiento Varón, Jorge González-Puelma, Jorge González-Puelma, David Medina-Ortiz, Jacqueline Aldridge, Diego Alvarez-Saravia, Diego Alvarez-Saravia, Roberto Uribe-Paredes, Marcelo A. Navarrete, Marcelo A. Navarrete

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Plasma markers for gastric cancer diagnosis: a metabolomics- and machine learning-based exploratory study by Chu-xuan XU, Fei JIANG, Wei-tao SHEN

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Machine Learning for Exposure-Response Analysis: Methodological Considerations and Confirmation of Their Importance via Computational Experimentations by Rashed Harun, Eric Yang, Nastya Kassir, Wenhui Zhang, James Lu

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