Cargando…
Machine-Learning Approaches for Predicting the Need of Oxygen Therapy in Early-Stage COVID-19 in Japan: Multicenter Retrospective Observational Study
BACKGROUND: Early prediction of oxygen therapy in patients with coronavirus disease 2019 (COVID-19) is vital for triage. Several machine-learning prognostic models for COVID-19 are currently available. However, external validation of these models has rarely been performed. Therefore, most reported p...
Autores principales: | Yamanaka, Syunsuke, Morikawa, Koji, Azuma, Hiroyuki, Yamanaka, Maki, Shimada, Yoshimitsu, Wada, Toru, Matano, Hideyuki, Yamada, Naoki, Yamamura, Osamu, Hayashi, Hiroyuki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904892/ https://www.ncbi.nlm.nih.gov/pubmed/35280897 http://dx.doi.org/10.3389/fmed.2022.846525 |
Ejemplares similares
-
Calibration-Free Cuffless Blood Pressure Estimation Based on a Population With a Diverse Range of Age and Blood Pressure
por: Yamanaka, Syunsuke, et al.
Publicado: (2021) -
Machine Learning Approaches for Predicting Difficult Airway and First-Pass Success in the Emergency Department: Multicenter Prospective Observational Study
por: Yamanaka, Syunsuke, et al.
Publicado: (2022) -
The optimal number of personnel for good quality of chest compressions: A prospective randomized parallel manikin trial
por: Yamanaka, Syunsuke, et al.
Publicado: (2017) -
Comparison of acute vertigo diagnosis and treatment practices between otolaryngologists and non-otolaryngologists: A multicenter scenario-based survey
por: Numata, Kenji, et al.
Publicado: (2019) -
A comprehensive validation of very early rule-out strategies for non-ST-segment elevation myocardial infarction in emergency departments: protocol for a multicentre prospective cohort study
por: Tada, Masafumi, et al.
Publicado: (2019)