EPA-0882 - Prediction of diagnosis of early-onset schizophrenia spectrum disorders using support vector machines

Pina Camacho, L. and Díaz Caneja, C.M. and García Prieto, J. and Parellada, M. and Castro Fornieles, J. and González Pinto, A. and Bombin, I. and Graell, M. and Otero, S. and Rapado Castro, M. and Janssen, J. and Baeza, I. and Pozo Guerrero, Francisco del and Desco, M. and Arango, C. (2014). EPA-0882 - Prediction of diagnosis of early-onset schizophrenia spectrum disorders using support vector machines. "European Psychiatry", v. 29 (n. S1); p. 1. ISSN 0924-9338. https://doi.org/10.1016/S0924-9338(14)78212-4.

Description

Title: EPA-0882 - Prediction of diagnosis of early-onset schizophrenia spectrum disorders using support vector machines
Author/s:
  • Pina Camacho, L.
  • Díaz Caneja, C.M.
  • García Prieto, J.
  • Parellada, M.
  • Castro Fornieles, J.
  • González Pinto, A.
  • Bombin, I.
  • Graell, M.
  • Otero, S.
  • Rapado Castro, M.
  • Janssen, J.
  • Baeza, I.
  • Pozo Guerrero, Francisco del
  • Desco, M.
  • Arango, C.
Item Type: Article
Título de Revista/Publicación: European Psychiatry
Date: 2014
ISSN: 0924-9338
Volume: 29
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica y Bioingeniería
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

To develop a Support Vector Machine (SVM) algorithm as a predictive tool for diagnostic outcome in patients with FE-EOP, based on clinical and biomedical data at the emergence of the illness.

More information

Item ID: 35772
DC Identifier: http://oa.upm.es/35772/
OAI Identifier: oai:oa.upm.es:35772
DOI: 10.1016/S0924-9338(14)78212-4
Official URL: http://www.sciencedirect.com/science/article/pii/S0924933814782124#
Deposited by: Memoria Investigacion
Deposited on: 04 Aug 2015 17:54
Last Modified: 04 Aug 2015 17:54
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