Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit

More than 5 million patients have admitted annually to intensive care units (ICUs) in the United States. The leading causes of mortality are cardiovascular failures, multi-organ failures, and sepsis. Data-driven techniques have been used in the analysis of patient data to predict adverse events, suc...

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Detalles Bibliográficos
Autores principales: Zhu, Yuanda, Venugopalan, Janani, Zhang, Zhenyu, Chanani, Nikhil K., Maher, Kevin O., Wang, May D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036368/
https://www.ncbi.nlm.nih.gov/pubmed/35481281
http://dx.doi.org/10.3389/frai.2022.640926

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036368/
https://www.ncbi.nlm.nih.gov/pubmed/35481281
http://dx.doi.org/10.3389/frai.2022.640926

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