Prediction of Cardiac Arrest in the Emergency Department Based on Machine Learning and Sequential Characteristics: Model Development and Retrospective Clinical Validation Study

BACKGROUND: The development and application of clinical prediction models using machine learning in clinical decision support systems is attracting increasing attention. OBJECTIVE: The aims of this study were to develop a prediction model for cardiac arrest in the emergency department (ED) using mac...

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Detalles Bibliográficos
Autores principales: Hong, Sungjun, Lee, Sungjoo, Lee, Jeonghoon, Cha, Won Chul, Kim, Kyunga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435618/
https://www.ncbi.nlm.nih.gov/pubmed/32749227
http://dx.doi.org/10.2196/15932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435618/
https://www.ncbi.nlm.nih.gov/pubmed/32749227
http://dx.doi.org/10.2196/15932

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