Cargando…
Superiority of Supervised Machine Learning on Reading Chest X-Rays in Intensive Care Units
Purpose: Portable chest radiographs are diagnostically indispensable in intensive care units (ICU). This study aimed to determine if the proposed machine learning technique increased in accuracy as the number of radiograph readings increased and if it was accurate in a clinical setting. Methods: Two...
Autores principales: | Tanaka, Kumiko, Nakada, Taka-aki, Takahashi, Nozomi, Dozono, Takahiro, Yoshimura, Yuichiro, Yokota, Hajime, Horikoshi, Takuro, Nakaguchi, Toshiya, Shinozaki, Koichiro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554032/ https://www.ncbi.nlm.nih.gov/pubmed/34722558 http://dx.doi.org/10.3389/fmed.2021.676277 |
Ejemplares similares
-
Feedback function for capillary refilling time measurement device
por: Shinozaki, Masayoshi, et al.
Publicado: (2019) -
Optimal pressing strength and time for capillary refilling time
por: Kawaguchi, Rui, et al.
Publicado: (2019) -
Association between increased blood interleukin-6 levels on emergency department arrival and prolonged length of intensive care unit stay for blunt trauma
por: Taniguchi, Masashi, et al.
Publicado: (2016) -
Timing and Location of Medical Emergency Team Activation Is Associated with Seriousness of Outcome: An Observational Study in a Tertiary Care Hospital
por: Kurita, Takeo, et al.
Publicado: (2016) -
Shortening of low-flow duration over time was associated with improved outcomes of extracorporeal cardiopulmonary resuscitation in in-hospital cardiac arrest
por: Higashi, Akiko, et al.
Publicado: (2020)