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ID:15982 Chronic Pain Patients During COVID-19: Machine Learning Reveals Attributes Leading to Pandemic Susceptibility and Resilience

Detalles Bibliográficos
Autores principales: Rauck, Richard, Berger, Sara, Cecchi, Guillermo, Agurto, Carla, Eyigoz, Elif, Lechleiter, Kristen, Huynh, Dat, Brad Hershey, Loudermilk, Eric, Paez, Julio, Bojrab, Louis, Noles, John, Turley, Todd, Ibrahim, Mohab, Patwardhan, Amol, Scowcroft, James, Rene Przkora, Miller, Nathan, Chaiban, Gassan, Matt McDonald, Rogers, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163531/
http://dx.doi.org/10.1016/j.neurom.2022.02.160
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author Rauck, Richard
Berger, Sara
Cecchi, Guillermo
Agurto, Carla
Eyigoz, Elif
Lechleiter, Kristen
Huynh, Dat
Brad Hershey
Loudermilk, Eric
Paez, Julio
Bojrab, Louis
Noles, John
Turley, Todd
Ibrahim, Mohab
Patwardhan, Amol
Scowcroft, James
Rene Przkora
Miller, Nathan
Chaiban, Gassan
Matt McDonald
Rogers, Jeffrey
author_facet Rauck, Richard
Berger, Sara
Cecchi, Guillermo
Agurto, Carla
Eyigoz, Elif
Lechleiter, Kristen
Huynh, Dat
Brad Hershey
Loudermilk, Eric
Paez, Julio
Bojrab, Louis
Noles, John
Turley, Todd
Ibrahim, Mohab
Patwardhan, Amol
Scowcroft, James
Rene Przkora
Miller, Nathan
Chaiban, Gassan
Matt McDonald
Rogers, Jeffrey
author_sort Rauck, Richard
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spelling pubmed-91635312022-06-04 ID:15982 Chronic Pain Patients During COVID-19: Machine Learning Reveals Attributes Leading to Pandemic Susceptibility and Resilience Rauck, Richard Berger, Sara Cecchi, Guillermo Agurto, Carla Eyigoz, Elif Lechleiter, Kristen Huynh, Dat Brad Hershey Loudermilk, Eric Paez, Julio Bojrab, Louis Noles, John Turley, Todd Ibrahim, Mohab Patwardhan, Amol Scowcroft, James Rene Przkora Miller, Nathan Chaiban, Gassan Matt McDonald Rogers, Jeffrey Neuromodulation Article Published by Elsevier Inc. 2022-06 2022-06-03 /pmc/articles/PMC9163531/ http://dx.doi.org/10.1016/j.neurom.2022.02.160 Text en Copyright © 2022 Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Rauck, Richard
Berger, Sara
Cecchi, Guillermo
Agurto, Carla
Eyigoz, Elif
Lechleiter, Kristen
Huynh, Dat
Brad Hershey
Loudermilk, Eric
Paez, Julio
Bojrab, Louis
Noles, John
Turley, Todd
Ibrahim, Mohab
Patwardhan, Amol
Scowcroft, James
Rene Przkora
Miller, Nathan
Chaiban, Gassan
Matt McDonald
Rogers, Jeffrey
ID:15982 Chronic Pain Patients During COVID-19: Machine Learning Reveals Attributes Leading to Pandemic Susceptibility and Resilience
title ID:15982 Chronic Pain Patients During COVID-19: Machine Learning Reveals Attributes Leading to Pandemic Susceptibility and Resilience
title_full ID:15982 Chronic Pain Patients During COVID-19: Machine Learning Reveals Attributes Leading to Pandemic Susceptibility and Resilience
title_fullStr ID:15982 Chronic Pain Patients During COVID-19: Machine Learning Reveals Attributes Leading to Pandemic Susceptibility and Resilience
title_full_unstemmed ID:15982 Chronic Pain Patients During COVID-19: Machine Learning Reveals Attributes Leading to Pandemic Susceptibility and Resilience
title_short ID:15982 Chronic Pain Patients During COVID-19: Machine Learning Reveals Attributes Leading to Pandemic Susceptibility and Resilience
title_sort id:15982 chronic pain patients during covid-19: machine learning reveals attributes leading to pandemic susceptibility and resilience
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163531/
http://dx.doi.org/10.1016/j.neurom.2022.02.160
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