Prediction of Neurologically Intact Survival in Cardiac Arrest Patients without Pre-Hospital Return of Spontaneous Circulation: Machine Learning Approach

Current multimodal approaches for the prognostication of out-of-hospital cardiac arrest (OHCA) are based mainly on the prediction of poor neurological outcomes; however, it is challenging to identify patients expected to have a favorable outcome, especially before the return of spontaneous circulati...

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Detalles Bibliográficos
Autores principales: Seo, Dong-Woo, Yi, Hahn, Bae, Hyun-Jin, Kim, Youn-Jung, Sohn, Chang-Hwan, Ahn, Shin, Lim, Kyoung-Soo, Kim, Namkug, Kim, Won-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961400/
https://www.ncbi.nlm.nih.gov/pubmed/33807882
http://dx.doi.org/10.3390/jcm10051089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961400/
https://www.ncbi.nlm.nih.gov/pubmed/33807882
http://dx.doi.org/10.3390/jcm10051089

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