Merging person-specific bio-markers for predicting oral cancer recurrence through an ontology

Salvi, Dario and Picone, Marco and Arredondo Waldmeyer, Maria Teresa and Cabrera Umpierrez, Maria Fernanda and Esteban, Ángel and Steger, Sebastian and Poli, Tito (2013). Merging person-specific bio-markers for predicting oral cancer recurrence through an ontology. "IEEE Transactions on Biomedical Engineering", v. 60 (n. 1); pp. 216-220. ISSN 0018-9294. https://doi.org/10.1109/TBME.2012.2216879.

Description

Title: Merging person-specific bio-markers for predicting oral cancer recurrence through an ontology
Author/s:
  • Salvi, Dario
  • Picone, Marco
  • Arredondo Waldmeyer, Maria Teresa
  • Cabrera Umpierrez, Maria Fernanda
  • Esteban, Ángel
  • Steger, Sebastian
  • Poli, Tito
Item Type: Article
Título de Revista/Publicación: IEEE Transactions on Biomedical Engineering
Date: January 2013
ISSN: 0018-9294
Volume: 60
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

One of the major problems related to cancer treatment is its recurrence. Without knowing in advance how likely the cancer will relapse, clinical practice usually recommends adjuvant treatments that have strong side effects. A way to optimize treatments is to predict the recurrence probability by analyzing a set of bio-markers. The NeoMark European project has identified a set of preliminary bio-markers for the case of oral cancer by collecting a large series of data from genomic, imaging, and clinical evidence. This heterogeneous set of data needs a proper representation in order to be stored, computed, and communicated efficiently. Ontologies are often considered the proper mean to integrate biomedical data, for their high level of formality and for the need of interoperable, universally accepted models. This paper presents the NeoMark system and how an ontology has been designed to integrate all its heterogeneous data. The system has been validated in a pilot in which data will populate the ontology and will be made public for further research.

More information

Item ID: 21458
DC Identifier: http://oa.upm.es/21458/
OAI Identifier: oai:oa.upm.es:21458
DOI: 10.1109/TBME.2012.2216879
Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6293868
Deposited by: Memoria Investigacion
Deposited on: 11 Nov 2013 17:57
Last Modified: 21 Apr 2016 12:03
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