Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies
<p>Abstract</p> <p>Background</p> <p>Several models for mortality prediction have been constructed for critically ill patients with haematological malignancies in recent years. These models have proven to be equally or more accurate in predicting hospital mortality in p...
Main Authors: | Depuydt P, Vansteelandt S, Benoit D, Van Looy S, Verplancke T, De Turck F, Decruyenaere J |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2008-12-01
|
Series: | BMC Medical Informatics and Decision Making |
Online Access: | http://www.biomedcentral.com/1472-6947/8/56 |
Similar Items
-
A novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks
by: De Turck F, et al.
Published: (2010-01-01) -
Hypomagnesaemia in critically ill patients with haematological malignancies
by: Silvio A. Ñamendys-Silva, et al.
Published: (2014-07-01) -
On logistic regression versus support vectors machine using vaccination dataset
by: Olumide S. Adesina, et al.
Published: (2024-02-01) -
Classification of malignant and benign tissue with logistic regression
by: Laila Khairunnahar, et al.
Published: (2019-01-01) -
Immunotherapy and immunomodulation for haematological malignancies
by: Mussai, F, et al.
Published: (2012)