Clinical narrative analytics challenges

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


Title: Clinical narrative analytics challenges
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.

More information

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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