Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

BACKGROUND: Sepsis is one of the leading causes of mortality in hospitalized patients. Despite this fact, a reliable means of predicting sepsis onset remains elusive. Early and accurate sepsis onset predictions could allow more aggressive and targeted therapy while maintaining antimicrobial stewards...

Descripción completa

Detalles Bibliográficos
Autores principales: Desautels, Thomas, Calvert, Jacob, Hoffman, Jana, Jay, Melissa, Kerem, Yaniv, Shieh, Lisa, Shimabukuro, David, Chettipally, Uli, Feldman, Mitchell D, Barton, Chris, Wales, David J, Das, Ritankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2016
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5065680/
https://www.ncbi.nlm.nih.gov/pubmed/27694098
http://dx.doi.org/10.2196/medinform.5909

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5065680/
https://www.ncbi.nlm.nih.gov/pubmed/27694098
http://dx.doi.org/10.2196/medinform.5909

Ejemplares similares