Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury

BACKGROUND: More than 20% of patients admitted to the intensive care unit (ICU) develop an adverse event (AE). No previous study has leveraged patients’ data to extract the temporal features using their structural temporal patterns, that is, trends. OBJECTIVE: This study aimed to improve AE predicti...

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Detalles Bibliográficos
Autores principales: Morid, Mohammad Amin, Sheng, Olivia R Liu, Del Fiol, Guilherme, Facelli, Julio C, Bray, Bruce E, Abdelrahman, Samir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7109618/
https://www.ncbi.nlm.nih.gov/pubmed/32181753
http://dx.doi.org/10.2196/14272

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7109618/
https://www.ncbi.nlm.nih.gov/pubmed/32181753
http://dx.doi.org/10.2196/14272

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