Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Norawit Kijpaisalratana"'
Autor:
Jutamas Saoraya, Komsanti Vongkulbhisal, Norawit Kijpaisalratana, Suthaporn Lumlertgul, Khrongwong Musikatavorn, Atthasit Komindr
Publikováno v:
BMC Emergency Medicine, Vol 21, Iss 1, Pp 1-9 (2021)
Abstract Background It is recommended that difficult airway predictors be evaluated before emergency airway management. However, little is known about how patients with difficult airway predictors are managed in emergency departments. We aimed to exp
Externí odkaz:
https://doaj.org/article/fc835af7d39442d0ba77e66ae06e1a96
Autor:
Khrongwong Musikatavorn, Atthasit Komindr, Norawit Kijpaisalratana, Komsanti Vongkulbhisal, Jutamas Saoraya, Suthaporn Lumlertgul
Publikováno v:
BMC Emergency Medicine, Vol 21, Iss 1, Pp 1-9 (2021)
BMC Emergency Medicine
BMC Emergency Medicine
Background It is recommended that difficult airway predictors be evaluated before emergency airway management. However, little is known about how patients with difficult airway predictors are managed in emergency departments. We aimed to explore the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59f945798bb5d2ab6dc5f00fadcc933f
https://doaj.org/article/fc835af7d39442d0ba77e66ae06e1a96
https://doaj.org/article/fc835af7d39442d0ba77e66ae06e1a96
Autor:
Jutamas Saoraya, Komsanti Vongkulbhisal, Norawit Kijpaisalratana, Suthaporn Lumlertgul, Khrongwong Musikatavorn, Atthasit Komindr
Additional file 1 Table S1 The presence of difficult airway predictors as categorized by difficult laryngoscopy (LEMON) and difficult bag-mask ventilation (MOANS). The number of patients with each characteristics of difficult airway predictors were s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fdcafa1a97e3d0370692a3e31d95fe4
Autor:
Norawit Kijpaisalratana, Daecha Sanglertsinlapachai, Siwapol Techaratsami, Khrongwong Musikatavorn, Jutamas Saoraya
Publikováno v:
International Journal of Medical Informatics. 160:104689
Early recognition and treatment of sepsis are crucial for improving patient outcomes. However, the diagnosis of sepsis remains challenging because of vague clinical presentations.We aim to developed novel sepsis screening tools with machine learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de93c0cfd828965f3bc13efe18d45a7e
https://doi.org/10.1016/j.ijmedinf.2022.104689
https://doi.org/10.1016/j.ijmedinf.2022.104689
Publikováno v:
Frontiers in Digital Health; 2024, p1-7, 7p
Autor:
Saoraya, Jutamas1,2 (AUTHOR) jutamas.sa@chula.ac.th, Vongkulbhisal, Komsanti2,3 (AUTHOR), Kijpaisalratana, Norawit2,3 (AUTHOR), Lumlertgul, Suthaporn2,3 (AUTHOR), Musikatavorn, Khrongwong2,4 (AUTHOR), Komindr, Atthasit2,3 (AUTHOR)
Publikováno v:
BMC Emergency Medicine. 3/25/2021, Vol. 21 Issue 1, p1-9. 9p.