Biomarker evaluation by multiple kernel learning for schizophrenia detection

Aydin Ulaş, Umberto Castellani, Vittorio Murino, Marcella Bellani, Michele Tansella, Paolo Brambilla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we use the promising paradigm of Multiple Kernel Learning (MKL) to challenge the problem of biomarker evaluation for schizophrenia detection. We use eight different Regions of Interest (ROIs) extracted from Magnetic Resonance Images (MRIs). For each region we evaluate both tissue and geometric properties. We show that with MKL we not only obtain more accurate classifiers than using single source support vector machines (SVMs), feature concatenation and kernel averaging but also we evaluate the relevance of the brain biomarkers in predicting this disease. On a data set of 50 patients and 50 healthy controls we can achieve an increase of 7% accuracy compared to standard methods. Moreover, we are able to quantify the importance of each source of information by highlighting the synergies between the involved brain characteristics.

Original languageEnglish
Title of host publicationProceedings - 2012 2nd International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012
Pages89-92
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 2nd International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012 - London, United Kingdom
Duration: Jul 2 2012Jul 4 2012

Other

Other2012 2nd International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012
CountryUnited Kingdom
CityLondon
Period7/2/127/4/12

    Fingerprint

Keywords

  • biomedical imaging
  • magnetic resonance imaging
  • multiple kernel learning
  • support vector machines

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Ulaş, A., Castellani, U., Murino, V., Bellani, M., Tansella, M., & Brambilla, P. (2012). Biomarker evaluation by multiple kernel learning for schizophrenia detection. In Proceedings - 2012 2nd International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012 (pp. 89-92). [6295935] https://doi.org/10.1109/PRNI.2012.12