New onset delirium prediction using machine learning and long short-term memory (LSTM) in electronic health record

OBJECTIVE: To develop and test an accurate deep learning model for predicting new onset delirium in hospitalized adult patients. METHODS: Using electronic health record (EHR) data extracted from a large academic medical center, we developed a model combining long short-term memory (LSTM) and machine...

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Detalles Bibliográficos
Autores principales: Liu, Siru, Schlesinger, Joseph J, McCoy, Allison B, Reese, Thomas J, Steitz, Bryan, Russo, Elise, Koh, Brian, Wright, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748586/
https://www.ncbi.nlm.nih.gov/pubmed/36303456
http://dx.doi.org/10.1093/jamia/ocac210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748586/
https://www.ncbi.nlm.nih.gov/pubmed/36303456
http://dx.doi.org/10.1093/jamia/ocac210

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