Explainable artificial intelligence model to predict acute critical illness from electronic health records

Acute critical illness is often preceded by deterioration of routinely measured clinical parameters, e.g., blood pressure and heart rate. Early clinical prediction is typically based on manually calculated screening metrics that simply weigh these parameters, such as early warning scores (EWS). The...

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Detalles Bibliográficos
Autores principales: Lauritsen, Simon Meyer, Kristensen, Mads, Olsen, Mathias Vassard, Larsen, Morten Skaarup, Lauritsen, Katrine Meyer, Jørgensen, Marianne Johansson, Lange, Jeppe, Thiesson, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395744/
https://www.ncbi.nlm.nih.gov/pubmed/32737308
http://dx.doi.org/10.1038/s41467-020-17431-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395744/
https://www.ncbi.nlm.nih.gov/pubmed/32737308
http://dx.doi.org/10.1038/s41467-020-17431-x

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