Prediction of Neurological Outcomes in Out-of-hospital Cardiac Arrest Survivors Immediately after Return of Spontaneous Circulation: Ensemble Technique with Four Machine Learning Models

BACKGROUND: We performed this study to establish a prediction model for 1-year neurological outcomes in out-of-hospital cardiac arrest (OHCA) patients who achieved return of spontaneous circulation (ROSC) immediately after ROSC using machine learning methods. METHODS: We performed a retrospective an...

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Detalles Bibliográficos
Autores principales: Heo, Ji Han, Kim, Taegyun, Shin, Jonghwan, Suh, Gil Joon, Kim, Joonghee, Jung, Yoon Sun, Park, Seung Min, Kim, Sungwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289719/
https://www.ncbi.nlm.nih.gov/pubmed/34282605
http://dx.doi.org/10.3346/jkms.2021.36.e187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289719/
https://www.ncbi.nlm.nih.gov/pubmed/34282605
http://dx.doi.org/10.3346/jkms.2021.36.e187

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