Reduction of false alarms in the intensive care unit using an optimized machine learning based approach

This work attempts to reduce the number of false alarms generated by bedside monitors in the intensive care unit (ICU), as a majority of current alarms are false. In this study, we applied methods that can be categorized into three stages: signal processing, feature extraction, and optimized machine...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:NPJ Digit Med
Hlavní autoři: Au-Yeung, Wan-Tai M., Sahani, Ashish K., Isselbacher, Eric M., Armoundas, Antonis A.
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2019
Témata:
Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6728371/
https://ncbi.nlm.nih.gov/pubmed/31508497
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-019-0160-7
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky