Observatorio de I+D+i UPM

Memorias de investigación
Capítulo de libro:
Challenges of Medical Text and Image Processing: Machine Learning Approaches
Año:2016
Áreas de investigación
  • Análisis de datos,
  • Ciencias de la computación y tecnología informática,
  • Imágenes médicas,
  • Procesamiento de imágenes
Datos
Descripción
The generalized adoption of Electronic Medical Records (EMR) together with the need to give the patient the appropriate treatment at the appropriate moment at the appropriate cost is demanding solutions to analyze the information on the EMR automatically. However most of the information on the EMR is non-structured: texts and images. Extracting knowledge from this data requires methods for structuring this information. Despite the efforts made in Natural Language Processing (NLP) even in the biomedical domain and in image processing, medical big data has still to undertake several challenges. The ungrammatical structure of clinical notes, abbreviations used and evolving terms have to be tackled in any Name Entity Recognition process. Moreover abbreviations, acronyms and terms are very much dependant on the language and the specific service. On the other hand, in the area of medical images, one of the main challenges is the development of new algorithms and methodologies that can help the physician take full advantage of the information contained in all these images. However, the large number of imaging modalities used today for diagnosis hinders the availability of general procedures as machine learning is, once again, a good approach for addressing this challenge. In this chapter, which concentrates on the problem of name entity recognition, we review previous approaches and look at future works. We also review the machine leaning approaches for image segmentation and annotation.
Internacional
Si
DOI
10.1007/978-3-319-50478-0
Edición del Libro
1
Editorial del Libro
Springer International Publishing AG
ISBN
978-3-319-50477-3
Serie
Lecture Notes in Computer Science
Título del Libro
Machine Learning for Health Informatics
Desde página
221
Hasta página
242
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Ernestina Menasalvas Ruiz (UPM)
  • Autor: Consuelo Gonzalo Martin (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
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