Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hugo Solomon"'
Autor:
Tyler Wagner, FNU Shweta, Karthik Murugadoss, Samir Awasthi, AJ Venkatakrishnan, Sairam Bade, Arjun Puranik, Martin Kang, Brian W Pickering, John C O'Horo, Philippe R Bauer, Raymund R Razonable, Paschalis Vergidis, Zelalem Temesgen, Stacey Rizza, Maryam Mahmood, Walter R Wilson, Douglas Challener, Praveen Anand, Matt Liebers, Zainab Doctor, Eli Silvert, Hugo Solomon, Akash Anand, Rakesh Barve, Gregory Gores, Amy W Williams, William G Morice II, John Halamka, Andrew Badley, Venky Soundararajan
Publikováno v:
eLife, Vol 9 (2020)
Understanding temporal dynamics of COVID-19 symptoms could provide fine-grained resolution to guide clinical decision-making. Here, we use deep neural networks over an institution-wide platform for the augmented curation of clinical notes from 77,167
Externí odkaz:
https://doaj.org/article/04e4d0309faa47b58af6a8288fb59547
Autor:
AJ Venkatakrishnan, Arjun Puranik, Akash Anand, David Zemmour, Xiang Yao, Xiaoying Wu, Ramakrishna Chilaka, Dariusz K Murakowski, Kristopher Standish, Bharathwaj Raghunathan, Tyler Wagner, Enrique Garcia-Rivera, Hugo Solomon, Abhinav Garg, Rakesh Barve, Anuli Anyanwu-Ofili, Najat Khan, Venky Soundararajan
Publikováno v:
eLife, Vol 9 (2020)
The COVID-19 pandemic demands assimilation of all biomedical knowledge to decode mechanisms of pathogenesis. Despite the recent renaissance in neural networks, a platform for the real-time synthesis of the exponentially growing biomedical literature
Externí odkaz:
https://doaj.org/article/2b1a17f211964c8098b5cca7a0529c2a
Autor:
John Halamka, Zelalem Temesgen, Hugo Solomon, Walter R. Wilson, Douglas W. Challener, Zainab Doctor, Matthew Liebers, Maryam Mahmood, John C. O’Horo, Gregory J. Gores, Sairam Bade, Andrew D. Badley, Martin Kang, Eli Silvert, Stacey A. Rizza, William G. Morice, Tyler Wagner, Arjun Puranik, Akash Anand, AJ Venkatakrishnan, F. N.U. Shweta, Karthik Murugadoss, Paschalis Vergidis, Samir Awasthi, Raymund R. Razonable, Venky Soundararajan, Amy W. Williams, Rakesh Barve, Philippe R. Bauer, Praveen Anand, Brian W. Pickering
Publikováno v:
eLife
eLife, Vol 9 (2020)
eLife, Vol 9 (2020)
Understanding temporal dynamics of COVID-19 patient symptoms could provide fine-grained resolution to guide clinical decision-making. Here, we use deep neural networks over an institution-wide platform for the augmented curation of clinical notes fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab13e6049603bc8937c0713dc621c100
http://europepmc.org/articles/PMC7410498
http://europepmc.org/articles/PMC7410498
Autor:
Karthik Murugadoss, Eli Silvert, Amy W. Williams, Paschalis Vergidis, Samir Awasthi, F. N.U. Shweta, Stacey A. Rizza, Raymund R. Razonable, Tyler Wagner, Akash Anand, Gregory J. Gores, Hugo Solomon, John Halamka, Rakesh Barve, AJ Venkatakrishnan, Zainab Doctor, William G. Morice, Venky Soundararajan, Philippe R. Bauer, Arjun Puranik, Walter R. Wilson, Praveen Anand, Brian W. Pickering, Andrew D. Badley, Martin Kang, Maryam Mahmood, John C. O’Horo, Zelalem Temesgen, Douglas W. Challener, Matthew Liebers, Sairam Bade
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cb7b6ed12a70527a0a4ebe29cae6033
https://doi.org/10.7554/elife.58227.sa2
https://doi.org/10.7554/elife.58227.sa2
Autor:
Hugo Solomon, AJ Venkatakrishnan, Tyler Wagner, Akash Anand, Ramakrishna Chilaka, David Zemmour, Kristopher Standish, Abhinav Garg, Venky Soundararajan, Bharathwaj Raghunathan, Arjun Puranik, Anuli Anyanwu-Ofili, Enrique Garcia-Rivera, Xiaoying Wu, Rakesh Barve, Najat Khan, Xiang Yao, Dariusz K Murakowski
Publikováno v:
eLife, Vol 9 (2020)
eLife
eLife
The COVID-19 pandemic demands assimilation of all biomedical knowledge to decode mechanisms of pathogenesis. Despite the recent renaissance in neural networks, a platform for the real-time synthesis of the exponentially growing biomedical literature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54b489d2cee91a5a4a20c34679ad5bcf
https://elifesciences.org/articles/58040
https://elifesciences.org/articles/58040
Autor:
Dariusz K Murakowski, AJ Venkatakrishnan, David Zemmour, Abhinav Garg, Hugo Solomon, Rakesh Barve, Anuli Anyanwu-Ofili, Xiang Yao, Najat Khan, Tyler Wagner, Ramakrishna Chilaka, Kristopher Standish, Akash Anand, Bharathwaj Raghunathan, Venky Soundararajan, Arjun Puranik, Enrique Garcia-Rivera, Xiaoying Wu
The COVID-19 pandemic demands assimilation of all available biomedical knowledge to decode its mechanisms of pathogenicity and transmission. Despite the recent renaissance in unsupervised neural networks for decoding unstructured natural languages, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca5e8e7d4a17509d46ce88e568aa40c2
http://arxiv.org/abs/2003.12773
http://arxiv.org/abs/2003.12773