Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare

Sepsis is a leading cause of death in hospitals. Early prediction and diagnosis of sepsis, which is critical in reducing mortality, is challenging as many of its signs and symptoms are similar to other less critical conditions. We develop an artificial intelligence algorithm, SERA algorithm, which u...

Descripción completa

Detalles Bibliográficos
Autores principales: Goh, Kim Huat, Wang, Le, Yeow, Adrian Yong Kwang, Poh, Hermione, Li, Ke, Yeow, Joannas Jie Lin, Tan, Gamaliel Yu Heng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846756/
https://www.ncbi.nlm.nih.gov/pubmed/33514699
http://dx.doi.org/10.1038/s41467-021-20910-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846756/
https://www.ncbi.nlm.nih.gov/pubmed/33514699
http://dx.doi.org/10.1038/s41467-021-20910-4

Ejemplares similares