Materias dentro de su búsqueda.
Materias dentro de su búsqueda.
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921“... machine-learning algorithm based on a Bayesian optimization procedure, utilizing widely used or novel...”
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922por Moritz Böhland, Lars Tharun, Tim Scherr, Ralf Mikut, Veit Hagenmeyer, Lester D R Thompson, Sven Perner, Markus Reischl“... among pathologists. Thus, there is increasing interest in the use of machine learning approaches...”
Publicado 2021
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923“... data may require log ratio (ilr) transformation to avoid numerical biases. Machine learning can relate...”
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924“... Machine Learning (ML) algorithms still remains to be fully explored. Here, we present a Multi Learning...”
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925“... are analyzed profoundly. The machine learning (ML)-based Data Envelopment Analysis (DEA) and Malmquist index...”
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926“.... In the present study, a new BP screening method was developed using BIOPEP-UWM and machine learning. Training...”
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927por Stephan Sloth Lorenzen, Mads Nielsen, Espen Jimenez-Solem, Tonny Studsgaard Petersen, Anders Perner, Hans-Christian Thorsen-Meyer, Christian Igel, Martin Sillesen“... investigate whether machine learning (ML) can be used for predictions of intensive care requirements a fixed...”
Publicado 2021
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928
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929“... medical records to predict BMD response after treatment. We trained 7 machine learning models with 13,562...”
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930“...-containing mutants were simulated in PyRosetta, and machine learning (ML) was performed using either...”
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931
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932
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933por Emily J MacKay, Michael D Stubna, Corey Chivers, Michael E Draugelis, William J Hanson, Nimesh D Desai, Peter W Groeneveld“...<h4>Objective</h4>This study aimed to develop and validate a claims-based, machine learning...”
Publicado 2021
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934“... conversation, is associated with AD progression. Thus, we have developed a novel machine learning prediction...”
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935por Edward Lannon, Francisco Sanchez-Saez, Brooklynn Bailey, Natalie Hellman, Kerry Kinney, Amber Williams, Subodh Nag, Matthew E Kutcher, Burel R Goodin, Uma Rao, Matthew C Morris“... machine-learning strategies to predict pain severity and interference in 47 young women, ages 18 to 30...”
Publicado 2021
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936por Ruixia Cui, Ruixia Cui, Wenbo Hua, Kai Qu, Heran Yang, Yingmu Tong, Yingmu Tong, Qinglin Li, Qinglin Li, Hai Wang, Hai Wang, Yanfen Ma, Sinan Liu, Sinan Liu, Ting Lin, Ting Lin, Jingyao Zhang, Jingyao Zhang, Jingyao Zhang, Jian Sun, Chang Liu, Chang Liu, Chang LiuMaterias: “...machine learning...”
Publicado 2021
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937por Jian Yang, Jiajia Wang, Shuaiwei Tian, Qinhua Wang, Yang Zhao, Baocheng Wang, Liangliang Cao, Zhuangzhuang Liang, Heng Zhao, Hao Lian, Jie MaMaterias: “...machine learning...”
Publicado 2021
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938por William P T M van Doorn, Yuri D Foreman, Nicolaas C Schaper, Hans H C M Savelberg, Annemarie Koster, Carla J H van der Kallen, Anke Wesselius, Miranda T Schram, Ronald M A Henry, Pieter C Dagnelie, Bastiaan E de Galan, Otto Bekers, Coen D A Stehouwer, Steven J R Meex, Martijn C G J Brouwers“... used machine learning to train models in predicting future glucose levels based on prior CGM...”
Publicado 2021
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939
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