Clinical narrative analytics challenges

Menasalvas Ruiz, Ernestina and Rodríguez González, Alejandro and Costumero Moreno, Roberto and Ambit Hernández, Héctor and Gonzalo Martín, Consuelo (2016). Clinical narrative analytics challenges. "Lecture Notes in Artificial Intelligence", v. 9920 ; pp. 23-32. ISSN 0302-9743.


Title: Clinical narrative analytics challenges
  • Menasalvas Ruiz, Ernestina
  • Rodríguez González, Alejandro
  • Costumero Moreno, Roberto
  • Ambit Hernández, Héctor
  • Gonzalo Martín, Consuelo
Item Type: Article
Título de Revista/Publicación: Lecture Notes in Artificial Intelligence
Date: 2016
ISSN: 0302-9743
Volume: 9920
Freetext Keywords: Clinical narratives; Natural language processing
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

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Item ID: 47992
DC Identifier:
OAI Identifier:
DOI: 10.1007/978-3-319-47160-0_2
Official URL:
Deposited by: Memoria Investigacion
Deposited on: 06 Nov 2017 08:44
Last Modified: 03 Jun 2019 11:37
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