Daniel de Faveri Honorato,  Huei Diana Lee,  Maria Carolina Monard,  Feng Chung Wu,  Renato Bobsin Machado,  Antonio Pietrobom Neto,  Carlos Andres Ferrero. 

Knowledge Discovery in Databases is a process that can give assistance during analysis and understanding of data stored in 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 a methodology to support, through a semi-automatic process, the construction of a database in the attribute-value format from patient information contained in medical findings which are described in natural language. It also presents a case study in which the proposed methodology has been applied to a collection of High Digestive Endoscopies´ medical findings.

http://www.lbd.dcc.ufmg.br/colecoes/enia/2005/096.pdf

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