Incorporating Laboratory Values Into a Machine Learning Model Improves In-Hospital Mortality Predictions After Rapid Response Team Call

OBJECTIVES: Machine learning models have been used to predict mortality among patients requiring rapid response team activation. The goal of our study was to assess the impact of adding laboratory values into the model. DESIGN: A gradient boosted decision tree model was derived and internally valida...

Descripción completa

Detalles Bibliográficos
Autores principales: Reardon, Peter M., Parimbelli, Enea, Wilk, Szymon, Michalowski, Wojtek, Murphy, Kyle, Shen, Jennifer, Herritt, Brent, Gershkovich, Benjamin, Tanuseputro, Peter, Kyeremanteng, Kwadwo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Original Clinical Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063912/
https://www.ncbi.nlm.nih.gov/pubmed/32166265
http://dx.doi.org/10.1097/CCE.0000000000000023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063912/
https://www.ncbi.nlm.nih.gov/pubmed/32166265
http://dx.doi.org/10.1097/CCE.0000000000000023

Ejemplares similares