Advancements in Predictive Analytics: Machine Learning Approaches to Estimating Length of Stay and Mortality in Sepsis

Advancements in Predictive Analytics: Machine Learning Approaches to Estimating Length of Stay and Mortality in Sepsis

Sepsis remains a major global health concern, causing high mortality rates, prolonged hospital stays, and substantial economic burdens. The accurate prediction of clinical outcomes, such as mortality and length of stay (LOS), is critical for optimizing hospital resource allocation and improving pati...

Full description

Saved in:
Bibliographic Details
Main Authors: Houssem Ben Khalfallah, Mariem Jelassi, Jacques Demongeot, Narjès Bellamine Ben Saoud
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Computation
Subjects:
sepsis
machine learning
length of stay (LOS)
mortality prediction
clinical decision support systems (CDSSs)
intensive care unit (ICU)
Online Access:https://www.mdpi.com/2079-3197/13/1/8
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2079-3197/13/1/8

Similar Items