Long-short-term memory machine learning of longitudinal clinical data accurately predicts acute kidney injury onset in COVID-19: a two-center study

OBJECTIVES: This study used the long-short-term memory (LSTM) artificial intelligence method to model multiple time points of clinical laboratory data, along with demographics and comorbidities, to predict hospital-acquired acute kidney injury (AKI) onset in patients with COVID-19. METHODS: Montefio...

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Detalles Bibliográficos
Autores principales: Lu, Justin Y., Zhu, Joanna, Zhu, Jocelyn, Duong, Tim Q
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303068/
https://www.ncbi.nlm.nih.gov/pubmed/35872094
http://dx.doi.org/10.1016/j.ijid.2022.07.034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303068/
https://www.ncbi.nlm.nih.gov/pubmed/35872094
http://dx.doi.org/10.1016/j.ijid.2022.07.034

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