Using Explainable Machine Learning to Improve Intensive Care Unit Alarm Systems

Using Explainable Machine Learning to Improve Intensive Care Unit Alarm Systems

Due to the continuous monitoring process of critical patients, Intensive Care Units (ICU) generate large amounts of data, which are difficult for healthcare personnel to analyze manually, especially in overloaded situations such as those present during the COVID-19 pandemic. Therefore, the automatic...

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Autores principales: José A. González-Nóvoa, Laura Busto, Juan J. Rodríguez-Andina, José Fariña, Marta Segura, Vanesa Gómez, Dolores Vila, César Veiga
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
alarms
explainable machine learning
Intensive Care Unit
machine learning
MIMIC
patient monitoring
Chemical technology
TP1-1185
Acceso en línea:https://doaj.org/article/e6b12e8e171a4d8c80d062b3f7b2529b
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https://doaj.org/article/e6b12e8e171a4d8c80d062b3f7b2529b

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