Machine Learning Model for the Prediction of Hemorrhage in Intensive Care Units

OBJECTIVES: Early hemorrhage detection in intensive care units (ICUs) enables timely intervention and reduces the risk of irreversible outcomes. In this study, we aimed to develop a machine learning model to predict hemorrhage by learning the patterns of continuously changing, real-world clinical da...

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Detalles Bibliográficos
Autores principales: Kang, Sora, Park, Chul, Lee, Jinseok, Yoon, Dukyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672494/
https://www.ncbi.nlm.nih.gov/pubmed/36380433
http://dx.doi.org/10.4258/hir.2022.28.4.364

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672494/
https://www.ncbi.nlm.nih.gov/pubmed/36380433
http://dx.doi.org/10.4258/hir.2022.28.4.364

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