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Multiclassifier Systems for Predicting Neurological Outcome of Patients with Severe Trauma and Polytrauma in Intensive Care Units.
- Source :
-
Journal of Medical Systems . Sep2017, Vol. 41 Issue 9, p1-8. 8p. - Publication Year :
- 2017
-
Abstract
- This paper presents an ensemble based classification proposal for predicting neurological outcome of severely traumatized patients. The study comprises both the whole group of patients and a subgroup containing those patients suffering traumatic brain injury (TBI). Data was gathered from patients hospitalized in the Intensive Care Unit (ICU) of the University Hospital in Salamanca. Predictive models were induced from both epidemiologic and clinical variables taken at the emergency room and along the stay in the ICU. The large number of variables leads to a low accuracy in the classifiers even when feature selection methods are used. In addition, the presence of a much larger number of instances of one of the classes in the subgroup of TBI patients produces a significantly lesser precision for the minority class. Usual ways of dealing with the last problem is to use undersampling and oversampling strategies, which can lead to the loss of valuable data and overfitting problems respectively. Our proposal for dealing with these problems is based in the use of ensemble multiclassifiers as well as in the use of an ensemble playing the role of base classifier in multiclassifiers. The proposed strategy gave the best values of the selected quality measures (accuracy, precision, sensitivity, specificity, F-measure and area under the Receiver Operator Characteristic curve) as well as the closest values of precision for the two classes under study in the case of the classification from imbalanced data. [ABSTRACT FROM AUTHOR]
- Subjects :
- *INJURY complications
*BRAIN injuries
*APACHE (Disease classification system)
*BIOMETRY
*CLASSIFICATION
*INTENSIVE care units
*RESEARCH methodology
*MEDICAL care
*EVALUATION of medical care
*MEDICAL needs assessment
*NEUROLOGIC examination
*PATIENTS
*LITERATURE reviews
*DATA analysis software
*GLASGOW Coma Scale
*DIAGNOSIS
Subjects
Details
- Language :
- English
- ISSN :
- 01485598
- Volume :
- 41
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Journal of Medical Systems
- Publication Type :
- Academic Journal
- Accession number :
- 125068541
- Full Text :
- https://doi.org/10.1007/s10916-017-0789-1