Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data

Sepsis is a leading cause of mortality and early identification improves survival. With increasing digitalization of health care data automated sepsis prediction models hold promise to aid in prompt recognition. Most previous studies have focused on the intensive care unit (ICU) setting. Yet only a...

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Detalles Bibliográficos
Autores principales: Valik, John Karlsson, Ward, Logan, Tanushi, Hideyuki, Johansson, Anders F., Färnert, Anna, Mogensen, Mads Lause, Pickering, Brian W., Herasevich, Vitaly, Dalianis, Hercules, Henriksson, Aron, Nauclér, Pontus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359402/
https://www.ncbi.nlm.nih.gov/pubmed/37474597
http://dx.doi.org/10.1038/s41598-023-38858-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359402/
https://www.ncbi.nlm.nih.gov/pubmed/37474597
http://dx.doi.org/10.1038/s41598-023-38858-4

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