Cargando…
Artificial neural network-boosted Cardiac Arrest Survival Post-Resuscitation In-hospital (CASPRI) score accurately predicts outcome in cardiac arrest patients treated with targeted temperature management
Existing prognostic models to predict the neurological recovery in patients with cardiac arrest receiving targeted temperature management (TTM) either exhibit moderate accuracy or are too complicated for clinical application. This necessitates the development of a simple and generalizable prediction...
Autores principales: | Chou, Szu-Yi, Bamodu, Oluwaseun Adebayo, Chiu, Wei-Ting, Hong, Chien-Tai, Chan, Lung, Chung, Chen-Chih |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068683/ https://www.ncbi.nlm.nih.gov/pubmed/35508580 http://dx.doi.org/10.1038/s41598-022-11201-z |
Ejemplares similares
-
Validation of the Cardiac Arrest Survival Postresuscitation In-hospital (CASPRI) score in an East Asian population
por: Wang, Chih-Hung, et al.
Publicado: (2018) -
Predicting in-hospital cardiac arrest outcomes: CASPRI and GO-FAR scores
por: Jung, Jonghee, et al.
Publicado: (2023) -
Cardiac Arrest Survival Postresuscitation In-Hospital (CASPRI) Score Predicts Neurological Favorable Survival in Emergency Department Cardiac Arrest
por: Tsai, Jeffrey Che-Hung, et al.
Publicado: (2021) -
Resuscitation for Cardiac Arrest and Postcardiac Arrest Care
por: Lin, Yan-Ren, et al.
Publicado: (2020) -
Artificial neural network based prediction of postthrombolysis intracerebral hemorrhage and death
por: Chung, Chen-Chih, et al.
Publicado: (2020)