Cargando…
icuARM-An ICU Clinical Decision Support System Using Association Rule Mining
The rapid development of biomedical monitoring technologies has enabled modern intensive care units (ICUs) to gather vast amounts of multimodal measurement data about their patients. However, processing large volumes of complex data in real-time has become a big challenge. Together with ICU physicia...
Autores principales: | Cheng, Chih-Wen, Chanani, Nikhil, Venugopalan, Janani, Maher, Kevin, Wang, May Dongmei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IEEE
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847478/ https://www.ncbi.nlm.nih.gov/pubmed/27170860 http://dx.doi.org/10.1109/JTEHM.2013.2290113 |
Ejemplares similares
-
Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit
por: Zhu, Yuanda, et al.
Publicado: (2022) -
Influence of ICU-bed availability on ICU admission decisions
por: Robert, René, et al.
Publicado: (2015) -
Decision-making algorithm for TS in the ICU
por: Marullo, L, et al.
Publicado: (2015) -
Decision-making in the ICU: An analysis of the
ICU admission decision-making process using a
‘20 Questions’ approach
por: Gopalan, P D, et al.
Publicado: (2020) -
Validation of predictive rules for ICU patients with community-acquired pneumonia
por: Rudnov, V, et al.
Publicado: (2008)