A new survival status prediction system for severe trauma patients based on a multiple classifier system

Highlights • The survival status of trauma patients is tackled as a classification problem. • A new prediction system based on a multiple classifier system is proposed. • The study is carried out over 462 patients that were treated at the Hospital of Navarre in Spain. • The new approach is developed...

Full description

Saved in:
Bibliographic Details
Published in:Computer methods and programs in biomedicine 2017-04, Vol.142, p.1-8
Main Authors: Sanz, José, Paternain, Daniel, Galar, Mikel, Fernandez, Javier, Reyero, Diego, Belzunegui, Tomás
Format: Article
Language:English
Subjects:
Adult
Aged
Algorithms
Classification
Decision Trees
Emergency Medicine
Female
Humans
Internal Medicine
Logistic Models
Male
Middle Aged
Multiple classifier system
Other
Registries
Regression Analysis
Reproducibility of Results
Sensitivity and Specificity
Severity of Illness Index
Software
Spain
Survival status prediction
Trauma patients
Treatment Outcome
Wounds and Injuries - classification
Wounds and Injuries - mortality
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Highlights • The survival status of trauma patients is tackled as a classification problem. • A new prediction system based on a multiple classifier system is proposed. • The study is carried out over 462 patients that were treated at the Hospital of Navarre in Spain. • The new approach is developed using the specific features of the patients stored in the Major Trauma Registry of Navarre. • The results show that the usage of the new proposal enhance the performance of the currently used systems.
ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2017.02.011