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Lung Cancer Concept Annotation from Spanish Clinical Narratives

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Data Integration in the Life Sciences (DILS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 11371))

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Abstract

Recent rapid increase in the generation of clinical data and rapid development of computational science make us able to extract new insights from massive datasets in healthcare industry. Oncological Electronic Health Records (EHRs) are creating rich databases for documenting patient’s history and they potentially contain a lot of patterns that can help in better management of the disease. However, these patterns are locked within free text (unstructured) portions of EHRs and consequence in limiting health professionals to extract useful information from them and to finally perform Query and Answering (Q&A) process in an accurate way. The Information Extraction (IE) process requires Natural Language Processing (NLP) techniques to assign semantics to these patterns. Therefore, in this paper, we analyze the design of annotators for specific lung cancer concepts that can be integrated over Apache Unstructured Information Management Architecture (UIMA) framework. In addition, we explain the details of generation and storage of annotation outcomes.

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Author information

Authors and Affiliations

  1. Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Madrid, Spain

    Marjan Najafabadipour, Juan Manuel Tuñas, Alejandro Rodríguez-González & Ernestina Menasalvas

  2. ETS de Ingenieros Informáticos, Universidad Politécnica de Madrid, Madrid, Spain

    Alejandro Rodríguez-González & Ernestina Menasalvas

Authors
  1. Marjan Najafabadipour
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  2. Juan Manuel Tuñas
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  3. Alejandro Rodríguez-González
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  4. Ernestina Menasalvas
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Corresponding author

Correspondence to Alejandro Rodríguez-González .

Editor information

Editors and Affiliations

  1. TIB and Leibniz University, Hannover, Germany

    Sören Auer

  2. TIB and Leibniz University, Hannover, Germany

    Maria-Esther Vidal

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Najafabadipour, M., Tuñas, J.M., Rodríguez-González, A., Menasalvas, E. (2019). Lung Cancer Concept Annotation from Spanish Clinical Narratives. In: Auer, S., Vidal, ME. (eds) Data Integration in the Life Sciences. DILS 2018. Lecture Notes in Computer Science(), vol 11371. Springer, Cham. https://doi.org/10.1007/978-3-030-06016-9_15

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  • DOI: https://doi.org/10.1007/978-3-030-06016-9_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-06015-2

  • Online ISBN: 978-3-030-06016-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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