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This study focuses on the development of a strategy for finding information in patentdocuments. Specifically, this paper presents an evaluation of the use of language, truncationand the location of selected terms. The search strategy was developed on the DerwentInnovations Index patent database (an interface available in the Capes Journal Portal) bycross-referencing malaria concepts with diagnoses associated with international patentclassifications (IPC) from 2005 to 2009. A text-mining software program was used to analyzethe results. Diagnosing malaria is important because of the worldwide burden of disease andthe fact that an accurate diagnosis helps to determine the most appropriate treatment and canalso lead to reductions in healthcare costs. The results showed that searching for the termsonly in the title limits the search results because most of the concepts were found in theabstract. The use of natural and controlled language in the same search strategy is crucial forobtaining more accurate information. Truncation is important in the search strategy; however,the combination of terms should be known so that irrelevant information is not retrieved.

Otimização de expressão para busca de patentes: estudo de caso sobre diagnóstico de malária Optimizing patent searches: the case of malaria diagnosis