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Automatic Drug-Drug Interaction Detection: A Machine Learning Approach With Maximal Frequent Sequence Extraction

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Automatic Drug-Drug Interaction Detection: A Machine Learning Approach With Maximal Frequent Sequence Extraction

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García Blasco, S.; Mola Velasco, SM.; Danger Mercaderes, RM.; Rosso, P. (2011). Automatic Drug-Drug Interaction Detection: A Machine Learning Approach With Maximal Frequent Sequence Extraction. CEUR Workshop Proceedings. 761:51-58. http://hdl.handle.net/10251/33478

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Title: Automatic Drug-Drug Interaction Detection: A Machine Learning Approach With Maximal Frequent Sequence Extraction
Author: García Blasco, Sandra Mola Velasco, Santiago Moisés Danger Mercaderes, Roxana María Rosso, Paolo
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] A Drug-Drug Interaction (DDI) occurs when the effects of a drug are modified by the presence of other drugs. DDIExtraction2011 proposes a first challenge task, Drug-Drug Interaction Extraction, to compare different ...[+]
Copyrigths: Reserva de todos los derechos
Source:
CEUR Workshop Proceedings. (issn: 1613-0073 )
Publisher:
CEUR Workshop Proceedings
Publisher version: http://ceur-ws.org/Vol-761/
Conference name: Workshop on Drug-Drug Interaction Extraction (DDIExtraction2011)
Conference place: Huelva, España
Conference date: September 09, 2011
Project ID: info:eu-repo/grantAgreement/EC/FP7/269180/EU
Thanks:
This work has been done in the framework of the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems. Contributions of first and second authors have been supported and partially funded by bitsnbrains ...[+]
Type: Artículo

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