Machine Learning-Based Early Prediction of Sepsis Using Electronic Health Records: A Systematic Review

Background: Sepsis, a life-threatening infection-induced inflammatory condition, has significant global health impacts. Timely detection is crucial for improving patient outcomes as sepsis can rapidly progress to severe forms. The application of machine learning (ML) and deep learning (DL) to predic...

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Detalles Bibliográficos
Autores principales: Islam, Khandaker Reajul, Prithula, Johayra, Kumar, Jaya, Tan, Toh Leong, Reaz, Mamun Bin Ibne, Sumon, Md. Shaheenur Islam, Chowdhury, Muhammad E. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Systematic Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488449/
https://www.ncbi.nlm.nih.gov/pubmed/37685724
http://dx.doi.org/10.3390/jcm12175658

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488449/
https://www.ncbi.nlm.nih.gov/pubmed/37685724
http://dx.doi.org/10.3390/jcm12175658

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