Clinical narrative analytics challenges

Menasalvas Ruiz, Ernestina; Rodríguez González, Alejandro; Costumero Moreno, Roberto; Ambit Hernández, Héctor y Gonzalo Martín, Consuelo (2016). Clinical narrative analytics challenges. "Lecture Notes in Artificial Intelligence", v. 9920 ; pp. 23-32. ISSN 0302-9743. https://doi.org/10.1007/978-3-319-47160-0 2.

Descripción

Título: Clinical narrative analytics challenges
Autor/es:
  • Menasalvas Ruiz, Ernestina
  • Rodríguez González, Alejandro
  • Costumero Moreno, Roberto
  • Ambit Hernández, Héctor
  • Gonzalo Martín, Consuelo
Tipo de Documento: Artículo
Título de Revista/Publicación: Lecture Notes in Artificial Intelligence
Fecha: 2016
Volumen: 9920
Materias:
Palabras Clave Informales: Clinical narratives; Natural language processing
Escuela: E.T.S. de Ingenieros Informáticos (UPM)
Departamento: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Precision medicine or evidence based medicine is based on the extraction of knowledge from medical records to provide individuals with the appropriate treatment in the appropriate moment according to the patient features. Despite the efforts of using clinical narratives for clinical decision support, many challenges have to be faced still today such as multilinguarity, diversity of terms and formats in different services, acronyms, negation, to name but a few. The same problems exist when one wants to analyze narratives in literature whose analysis would provide physicians and researchers with highlights. In this talk we will analyze challenges, solutions and open problems and will analyze several frameworks and tools that are able to perform NLP over free text to extract medical entities by means of Named Entity Recognition process. We will also analyze a framework we have developed to extract and validate medical terms. In particular we present two uses cases: (i) medical entities extraction of a set of infectious diseases description texts provided by MedlinePlus and (ii) scales of stroke identification in clinical narratives written in Spanish.

Más información

ID de Registro: 47992
Identificador DC: http://oa.upm.es/47992/
Identificador OAI: oai:oa.upm.es:47992
Identificador DOI: 10.1007/978-3-319-47160-0 2
URL Oficial: http://www.springer.com/us/book/9783319471594
Depositado por: Memoria Investigacion
Depositado el: 06 Nov 2017 08:44
Ultima Modificación: 06 Nov 2017 08:44
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