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Materias dentro de su búsqueda.
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761
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762por Mary M. Maleckar, Lena Myklebust, Julie Uv, Per Magne Florvaag, Vilde Strøm, Charlotte Glinge, Reza Jabbari, Niels Vejlstrup, Thomas Engstrøm, Kiril Ahtarovski, Thomas Jespersen, Jacob Tfelt-Hansen, Jacob Tfelt-Hansen, Valeriya Naumova, Hermenegild ArevaloMaterias: “...machine learning in cardiology...”
Publicado 2021
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763
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764“... basado en técnicas de visión por computador y machine learning para identificar, rastrear y clasificar...”
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765por Blanca Vázquez, Gibran Fuentes-Pineda, Fabian García, Gabriela Borrayo, Juan ProhíasMaterias: “...Machine learning...”
Publicado 2021
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766
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767por Konan Hara, Yasuki Kobayashi, Jun Tomio, Yuki Ito, Thomas Svensson, Ryo Ikesu, Ung-Il Chung, Akiko Kishi Svensson“...-.773 for dyslipidemia. We found that machine learning methods can attain AUCs comparable...”
Publicado 2021
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768
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769por Marc-Andre Schulz, B. T. Thomas Yeo, Joshua T. Vogelstein, Janaina Mourao-Miranada, Jakob N. Kather, Konrad Kording, Blake Richards, Danilo Bzdok“... prediction algorithms and with increasing sample size in reference machine-learning and biomedical datasets...”
Publicado 2020
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770por Mohammad A. Dabbah, Angus B. Reed, Adam T. C. Booth, Arrash Yassaee, Aleksa Despotovic, Benjamin Klasmer, Emily Binning, Mert Aral, David Plans, Davide Morelli, Alain B. Labrique, Diwakar MohanEnlace del recurso
Publicado 2021
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771“...Abstract The purpose of this study is to apply a machine learning approach to predict whether...”
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772por Tze Y. Thung, Murray E. White, Wei Dai, Jonathan J. Wilksch, Rebecca S. Bamert, Andrea Rocker, Christopher J. Stubenrauch, Daniel Williams, Cheng Huang, Ralf Schittelhelm, Jeremy J. Barr, Eleanor Jameson, Sheena McGowan, Yanju Zhang, Jiawei Wang, Rhys A. Dunstan, Trevor LithgowEnlace del recurso
Publicado 2021
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773por Yeonhee Lee, Jiwon Ryu, Min Woo Kang, Kyung Ha Seo, Jayoun Kim, Jungyo Suh, Yong Chul Kim, Dong Ki Kim, Kook-Hwan Oh, Kwon Wook Joo, Yon Su Kim, Chang Wook Jeong, Sang Chul Lee, Cheol Kwak, Sejoong Kim, Seung Seok Han“... and high mortality. Herein we addressed whether machine learning (ML) algorithms could predict...”
Publicado 2021
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774All-weather, natural silent speech recognition via machine-learning-assisted tattoo-like electronicspor Youhua Wang, Tianyi Tang, Yin Xu, Yunzhao Bai, Lang Yin, Guang Li, Hongmiao Zhang, Huicong Liu, YongAn Huang“... skin record high-quality bio-data of various silent speech, and the machine-learning algorithm deployed...”
Publicado 2021
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775“... exogenous labels. To increase the utility of QPM, machine-learning methods have been adapted to extract...”
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776por Pakorn Ditthakit, Sirimon Pinthong, Nureehan Salaeh, Fadilah Binnui, Laksanara Khwanchum, Quoc Bao Pham“..., and MLR. Our finding revealed the applicability of machine learning for estimating monthly runoff...”
Publicado 2021
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777por Farideh Jalali-najafabadi, Michael Stadler, Nick Dand, Deepak Jadon, Mehreen Soomro, Pauline Ho, Helen Marzo-Ortega, Philip Helliwell, Eleanor Korendowych, Michael A. Simpson, Jonathan Packham, Catherine H. Smith, Jonathan N. Barker, Neil McHugh, Richard B. Warren, Anne Barton, John Bowes, BADBIR Study Group, BSTOP Study Group“... with potential confounders presenting challenges to feature selection and risk prediction machine learning models...”
Publicado 2021
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778por Lars A Bratholm, Will Gerrard, Brandon Anderson, Shaojie Bai, Sunghwan Choi, Lam Dang, Pavel Hanchar, Addison Howard, Sanghoon Kim, Zico Kolter, Risi Kondor, Mordechai Kornbluth, Youhan Lee, Youngsoo Lee, Jonathan P Mailoa, Thanh Tu Nguyen, Milos Popovic, Goran Rakocevic, Walter Reade, Wonho Song, Luka Stojanovic, Erik H Thiede, Nebojsa Tijanic, Andres Torrubia, Devin Willmott, Craig P Butts, David R Glowacki“...The rise of machine learning (ML) has created an explosion in the potential strategies for using...”
Publicado 2021
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779“... integration using a machine learning approach. To investigate predictive factors of well-being and obtain...”
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780