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.
 
 
Highlights
With the advance of technology the amount of digitally stored information increases constantly
The methodology proposed in this work, which is an extension of [5], was idealized to support the construction of an attribute-value table from semi-structured medical findings described in natural language (Portuguese)
2.2 Second Phase The objective of this phase is to process the collection of medical findings, considering the information mapped within the dictionary structure, and to fill in the attribute-value table
Summary
With the advance of technology the amount of digitally stored information increases constantly. Processes that support the semi-automation of this task provide the benefit of time reduction in mapping new findings to the attribute-value format, besides helping the standardization of MF information treatment [6]. Some related work can be found in [1, 4, 12, 14], which use different techniques for the transformation of MF unstructured information into the attribute-value format. The methodology proposed in this work, which is an extension of [5], was idealized to support the construction of an attribute-value table from semi-structured medical findings described in natural language (Portuguese).
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