Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (57kB) | Preview |
EPA-0882 - Prediction of diagnosis of early-onset schizophrenia spectrum disorders using support vector machines
Citation
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 
ORCID: https://orcid.org/0000-0001-9919-9125, 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: |
|
| 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 |
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: | https://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/S... |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 04 Aug 2015 17:54 |
| Last Modified: | 04 Aug 2015 17:54 |
