Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction

Authors

  • Daniel de Faveri Honorato Bioinformatics Laboratory – LABI
  • Everton Alvares Cherman Institute of Mathematical and Computing Sciences – ICMC
  • Huei Diana Lee Bioinformatics Laboratory – LABI
  • Maria Carolina Monard Institute of Mathematical and Computing Sciences
  • Feng Chung Wu Institute of Mathematical and Computing Sciences

DOI:

https://doi.org/10.19153/cleiej.11.2.3

Keywords:

Text Processing, Information Extraction, Document Processing

Abstract

Data Mining is a process related to analysis, understanding and knowledge extraction from databases. In order to perform this process it is usually necessary to represent the data in the so called attribute-value format. This work proposes an extension of a methodology which supports, through a semi-automatic process, the construction of a table in the attribute-value format from information contained in medical findings which are described in natural language (Portuguese). A case study in which the methodology has been applied to a collection of Upper Digestive Endoscopies’ medical findings is presented. Results show the suitability of our proposal.

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Published

2008-12-01

Issue

Vol. 11 No. 2 (2008): Special Issue of Best Papers presented at CLEI 2007, San Jose, Costa Rica

Section

Articles

License

CLEIej is supported by its home institution, CLEI, and by the contribution of the Latin American and international researchers community, and it does not apply any author charges whatsoever for submitting and publishing. Since its creation in 1998, all contents are made publicly accesibly. The current license being applied is a (CC)-BY license (effective October 2015; between 2011 and 2015 a (CC)-BY-NC license was used).