Machine Learning Model to Identify Sepsis Patients in the Emergency Department: Algorithm Development and Validation

Accurate stratification of sepsis can effectively guide the triage of patient care and shared decision making in the emergency department (ED). However, previous research on sepsis identification models focused mainly on ICU patients, and discrepancies in model performance between the development an...

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Detalles Bibliográficos
Autores principales: Lin, Pei-Chen, Chen, Kuo-Tai, Chen, Huan-Chieh, Islam, Md. Mohaimenul, Lin, Ming-Chin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623760/
https://www.ncbi.nlm.nih.gov/pubmed/34834406
http://dx.doi.org/10.3390/jpm11111055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623760/
https://www.ncbi.nlm.nih.gov/pubmed/34834406
http://dx.doi.org/10.3390/jpm11111055

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