Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Dorthe Klein"'
Autor:
Erwin Birnie, Jochen W L Cals, Folkert W Asselbergs, Kevin Vernooy, Iwan C C van der Horst, Frederikus A Klok, Martijn D de Kruif, Hugo ten Cate, Chahinda Ghossein-Doha, Susanne van Santen, Bas C T van Bussel, Sander M J van Kuijk, Gouke J Bonsel, Juanita Haagsma, Marijke Linschoten, Bena Hemmen, Marieke S J N Wintjens, Emma B N J Janssen, Dorthe Klein, Stella C M Heemskerk, Bastiaan L J H Kietselaer, Loes H Willems, Rosa Westerborg, Michiel Warle
Publikováno v:
BMJ Open, Vol 12, Iss 11 (2022)
Introduction The variety, time patterns and long-term prognosis of persistent COVID-19 symptoms (long COVID-19) in patients who suffered from mild to severe acute COVID-19 are incompletely understood. Cohort studies will be combined to describe the p
Externí odkaz:
https://doaj.org/article/4a9fcac7240744dfa06e840086dfecde
Autor:
Chahinda Ghossein-Doha, Marieke S J N Wintjens, Emma B N J Janssen, Dorthe Klein, Stella C M Heemskerk, Folkert W Asselbergs, Erwin Birnie, Gouke J Bonsel, Bas C T van Bussel, Jochen W L Cals, Hugo Ten Cate, Juanita Haagsma, Bena Hemmen, Iwan C C van der Horst, Bastiaan L J H Kietselaer, Frederikus A Klok, Martijn D de Kruif, Marijke Linschoten, Susanne van Santen, Kevin Vernooy, Loes H Willems, Rosa Westerborg, Michiel Warle, Sander M J van Kuijk
Publikováno v:
BMJ Open, 12, 11
BMJ Open, 12
BMJ Open, 12(11):e065142. BMJ PUBLISHING GROUP
BMJ Open, 12(11):e065142. BMJ Publishing Group
BMJ Open, 12(11). BMJ PUBLISHING GROUP
BMJ Open, 12
BMJ Open, 12(11):e065142. BMJ PUBLISHING GROUP
BMJ Open, 12(11):e065142. BMJ Publishing Group
BMJ Open, 12(11). BMJ PUBLISHING GROUP
IntroductionThe variety, time patterns and long-term prognosis of persistent COVID-19 symptoms (long COVID-19) in patients who suffered from mild to severe acute COVID-19 are incompletely understood. Cohort studies will be combined to describe the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fa5a37f6b607c13a7a86bba28ba33c2
https://hdl.handle.net/11370/e8c6aa27-a4b1-4e76-b189-d4d72bd548eb
https://hdl.handle.net/11370/e8c6aa27-a4b1-4e76-b189-d4d72bd548eb
Background Current methods for retrospective review of medical records require both time- and cost-wise a substantial effort. Therefore, we wanted to find the best method (based on natural language processing (NLP)) to select cases out of the medical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e88a27d418af3261493d55c6a5cd210
https://doi.org/10.21203/rs.2.11633/v1
https://doi.org/10.21203/rs.2.11633/v1
