Predicting Cognitive Recovery of Stroke Patients from the Structural MRI Connectome Using a Naïve Bayesian Tree Classifier. / Dacosta-Aguayo, Rosalia; Stephan-Otto, Christian; Auer, Tibor; Clemente, Ic; Davalos, Antoni; Bargallo, Nuria; Mataro, Maria; Klados, Manousos A.

Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017. Vol. 2017-June Institute of Electrical and Electronics Engineers Inc., 2017. p. 413-418.

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

Published

Documents

  • Rosalia Dacosta-Aguayo
  • Christian Stephan-Otto
  • Tibor Auer
  • Ic Clemente
  • Antoni Davalos
  • Nuria Bargallo
  • Maria Mataro
  • Manousos A. Klados
Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages413-418
Number of pages6
Volume2017-June
ISBN (Electronic)9781538617106
DOIs
Publication statusPublished - 2017
Event30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 - Thessaloniki, Greece
Duration: 22 Jun 201724 Jun 2017

Conference

Conference30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
CountryGreece
CityThessaloniki
Period22/06/1724/06/17
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 29997580