Fusion of fully integrated analog machine learning classifier with electronic medical records for real-time prediction of sepsis onset

The objective of this work is to develop a fusion artificial intelligence (AI) model that combines patient electronic medical record (EMR) and physiological sensor data to accurately predict early risk of sepsis. The fusion AI model has two components—an on-chip AI model that continuously analyzes p...

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Detalles Bibliográficos
Autores principales: Sadasivuni, Sudarsan, Saha, Monjoy, Bhatia, Neal, Banerjee, Imon, Sanyal, Arindam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983688/
https://www.ncbi.nlm.nih.gov/pubmed/35383233
http://dx.doi.org/10.1038/s41598-022-09712-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983688/
https://www.ncbi.nlm.nih.gov/pubmed/35383233
http://dx.doi.org/10.1038/s41598-022-09712-w

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