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3141“... between the groups of participants: 1) chronic pain and 2) normal controls. We employed supervised machine...”
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3142por Lucía Pinilla, Iván D. Benítez, Fernando Santamaria-Martos, Adriano Targa, Anna Moncusí-Moix, Mireia Dalmases, Olga Mínguez, Maria Aguilà, Mariona Jové, Joaquim Sol, Reinald Pamplona, Ferran Barbé, Manuel Sánchez-de-la-Torre“... and hypoxemia. Machine learning analyses disclosed a 4-metabolites-signature that provided an accuracy (95% CI...”
Publicado 2022
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3143“... of machine learning algorithms (mainly deep neuron networks) to be an alternative to the numerical simulation...”
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3144por Suraj Patil, Shrushti Joshi, Monica Jamla, Xianrong Zhou, Mohammad J Taherzadeh, Penna Suprasanna, Vinay Kumar“..., machine learning and artificial intelligence. Various approaches for up-regulation or knock-out of miRNAs...”
Publicado 2021
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3145“.... Despite increasing use of machine-learning algorithms in deciphering the content of biological and medical...”
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3146Assignments as Influential Factor to Improve the Prediction of Student Performance in Online Courses“... universities of United Kingdom. The study includes a wide set of different types of machine learning algorithms...”
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3147“... predicted model. Second, the BiGRU outperforms other machine learning algorithms because it captures more...”
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3148“... and double selection—a machine learning algorithm—in the sensitivity analyses. Estimates of “raw” outcomes...”
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3149por Xiaoliang Xie, Xiaoliang Xie, Xulin Wang, Yuebin Liang, Yuebin Liang, Jingya Yang, Jingya Yang, Jingya Yang, Yan Wu, Yan Wu, Li Li, Xin Sun, Pingping Bing, Binsheng He, Geng Tian, Geng Tian, Geng Tian, Xiaoli Shi, Xiaoli Shi“... image and machine learning communities, as this combination not only reduces the burden on pathologists...”
Publicado 2021
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3150por Mohammad S. E. Sendi, Allison C. Waters, Vineet Tiruvadi, Patricio Riva-Posse, Andrea Crowell, Faical Isbaine, John T. Gale, Ki Sueng Choi, Robert E. Gross, Helen S. Mayberg, Babak Mahmoudi“.... A machine learning classification method was used to discriminate between intracranial local field...”
Publicado 2021
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3151por Elani A. Bykowski, Jamie N. Petersson, Sean Dukelow, Chester Ho, Chantel T. Debert, Tony Montina, Gerlinde A.S. Metz“... statistical and machine learning-based analyses. Results: Lower levels of homovanillate (R = −0.74, p ≤ 0.001...”
Publicado 2021
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3152por Su Yang, Jose Miguel Sanchez Bornot, Ricardo Bruña Fernandez, Farzin Deravi, KongFatt Wong-Lin, Girijesh Prasad“...Abstract Magnetoencephalography (MEG) has been combined with machine learning techniques...”
Publicado 2021
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3153“... proteomics. We believe SpeCollate is significant progress towards developing machine-learning solutions...”
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3154por Joshua R. Harper, Venkateswararao Cherukuri, Tom O’Reilly, Mingzhao Yu, Edith Mbabazi-Kabachelor, Ronald Mulando, Kevin N. Sheth, Andrew G. Webb, Benjamin C. Warf, Abhaya V. Kulkarni, Vishal Monga, Steven J. Schiff“... the role of machine learning algorithms, such as deep learning, in the enhancement of lower quality images...”
Publicado 2021
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3155“... machine learning models and achieved the best prediction performance as measured by the average area under...”
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3156por Samit Ganguly, David Finkelstein, Timothy I Shaw, Ryan D Michalek, Kimberly M Zorn, Sean Ekins, Kazuto Yasuda, Yu Fukuda, John D Schuetz, Kamalika Mukherjee, Erin G Schuetz“... pathways. A predictive Bayesian machine learning model was used to predict in silico those metabolites...”
Publicado 2021
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3157“... data at 25 Hz. Random forest machine learning was used to develop predictive models that classified...”
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3158por Joanna F Dipnall, Richard Page, Lan Du, Matthew Costa, Ronan A Lyons, Peter Cameron, Richard de Steiger, Raphael Hau, Andrew Bucknill, Andrew Oppy, Elton Edwards, Dinesh Varma, Myong Chol Jung, Belinda J Gabbe“... that reasons on EMR information. Machine learning prediction models will test the performance with/without...”
Publicado 2021
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3159por Dongdong Li, Kohei Kaminishi, Ryosuke Chiba, Kaoru Takakusaki, Masahiko Mukaino, Jun Ota“... patients using the clustering method of machine learning. First, we collected the stroke patients' multi...”
Publicado 2021
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3160SpeCollate: Deep cross-modal similarity network for mass spectrometry data based peptide deductions.“... proteomics. We believe SpeCollate is significant progress towards developing machine-learning solutions...”
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