Explainable machine learning for real-time deterioration alert prediction to guide pre-emptive treatment

The Electronic Medical Record (EMR) provides an opportunity to manage patient care efficiently and accurately. This includes clinical decision support tools for the timely identification of adverse events or acute illnesses preceded by deterioration. This paper presents a machine learning-driven too...

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Detalles Bibliográficos
Autores principales: Brankovic, Aida, Hassanzadeh, Hamed, Good, Norm, Mann, Kay, Khanna, Sankalp, Abdel-Hafez, Ahmad, Cook, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273762/
https://www.ncbi.nlm.nih.gov/pubmed/35817885
http://dx.doi.org/10.1038/s41598-022-15877-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273762/
https://www.ncbi.nlm.nih.gov/pubmed/35817885
http://dx.doi.org/10.1038/s41598-022-15877-1

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