Format
Sort by

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 111

1.

SVM-based feature selection to optimize sensitivity-specificity balance applied to weaning.

Garde A, Voss A, Caminal P, Benito S, Giraldo BF.

Comput Biol Med. 2013 Jun;43(5):533-40. doi: 10.1016/j.compbiomed.2013.01.014. Epub 2013 Mar 20.

PMID:
23566399
2.

Patients on weaning trials classified with support vector machines.

Garde A, Schroeder R, Voss A, Caminal P, Benito S, Giraldo BF.

Physiol Meas. 2010 Jul;31(7):979-93. doi: 10.1088/0967-3334/31/7/008. Epub 2010 Jun 15.

PMID:
20551506
3.

Support vector machine classification applied on weaning trials patients.

Giraldo B, Garde A, Arizmendi C, Jańe R, Benito S, Diaz I, Ballesteros D.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:5587-90.

PMID:
17947151
4.

Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.

Li F, Zhao C, Xia Z, Wang Y, Zhou X, Li GZ.

BMC Complement Altern Med. 2012 Aug 16;12:127. doi: 10.1186/1472-6882-12-127.

5.

Classification of patients undergoing weaning from mechanical ventilation using the coherence between heart rate variability and respiratory flow signal.

Arcentales A, Caminal P, Diaz I, Benito S, Giraldo BF.

Physiol Meas. 2015 Jul;36(7):1439-52. doi: 10.1088/0967-3334/36/7/1439. Epub 2015 May 28.

PMID:
26020593
6.

Patients on weaning trials from mechanical ventilation classified with neural networks and feature selection.

Giraldo B, Arizmendi C, Romero E, Alquezar R, Caminal P, Benito S, Ballesteros D.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:2195-8.

PMID:
17946503
7.

Data mining of patients on weaning trials from mechanical ventilation using cluster analysis and neural networks.

Arizmendi C, Romero E, Alquezar R, Caminal P, Díaz I, Benito S, Giraldo BF.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:4343-6. doi: 10.1109/IEMBS.2009.5332742.

PMID:
19963824
8.

Power index of the inspiratory flow signal as a predictor of weaning in intensive care units.

Chaparro JA, Giraldo BF.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:78-81. doi: 10.1109/EMBC.2014.6943533.

PMID:
25569901
9.

Spectral analysis of the RR series and the respiratory flow signal on patients in weaning process.

Arcentales A, Giraldo BF, Caminal P, Diaz I, Benito S.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:2485-8. doi: 10.1109/IEMBS.2010.5626533.

PMID:
21096166
10.

Performance of respiratory pattern parameters in classifiers for predict weaning process.

Chaparro JA, Giraldo BF, Caminal P, Benito S.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:4349-52. doi: 10.1109/EMBC.2012.6346929.

PMID:
23366890
11.

Analysis of the respiratory pattern variability of patients in weaning process using autoregressive modeling techniques.

Chaparro JA, Giraldo BF, Caminal P, Benito S.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:5690-3. doi: 10.1109/IEMBS.2011.6091377.

PMID:
22255631
12.

Characterization of the respiratory pattern variability of patients with different pressure support levels.

Giraldo BF, Chaparro JA, Caminal P, Benito S.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:3849-52. doi: 10.1109/EMBC.2013.6610384.

PMID:
24110571
13.

Information flow to assess cardiorespiratory interactions in patients on weaning trials.

Vallverdú M, Tibaduisa O, Clariá F, Hoyer D, Giraldo B, Benito S, Caminal P.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:1462-5.

PMID:
17946466
14.

Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal.

Asl BM, Setarehdan SK, Mohebbi M.

Artif Intell Med. 2008 Sep;44(1):51-64. doi: 10.1016/j.artmed.2008.04.007. Epub 2008 Jun 27.

PMID:
18585905
15.

Support vector machines with constraints for sparsity in the primal parameters.

Gómez-Verdejo V, Martínez-Ramón M, Arenas-García J, Lázaro-Gredilla M, Molina-Bulla H.

IEEE Trans Neural Netw. 2011 Aug;22(8):1269-83. doi: 10.1109/TNN.2011.2148727. Epub 2011 Jul 5.

PMID:
21733774
16.

Weaning from mechanical ventilation in pediatric intensive care patients.

Farias JA, Alía I, Esteban A, Golubicki AN, Olazarri FA.

Intensive Care Med. 1998 Oct;24(10):1070-5.

PMID:
9840242
17.

Ischemia episode detection in ECG using kernel density estimation, support vector machine and feature selection.

Park J, Pedrycz W, Jeon M.

Biomed Eng Online. 2012 Jun 15;11:30. doi: 10.1186/1475-925X-11-30.

18.

MultiMiTar: a novel multi objective optimization based miRNA-target prediction method.

Mitra R, Bandyopadhyay S.

PLoS One. 2011;6(9):e24583. doi: 10.1371/journal.pone.0024583. Epub 2011 Sep 15.

19.

High efficient system for automatic classification of the electrocardiogram beats.

Zadeh AE, Khazaee A.

Ann Biomed Eng. 2011 Mar;39(3):996-1011. doi: 10.1007/s10439-010-0229-6. Epub 2010 Dec 8.

PMID:
21140292
20.

SVM-RFE based feature selection and Taguchi parameters optimization for multiclass SVM classifier.

Huang ML, Hung YH, Lee WM, Li RK, Jiang BR.

ScientificWorldJournal. 2014;2014:795624. doi: 10.1155/2014/795624. Epub 2014 Sep 10.

Items per page

Supplemental Content

Write to the Help Desk