Método qualitativo potencializado pela inteligência artificial: Relato de experiência

Abstract

Introduction: Complex phenomena are common in healthcare. For the purpose of improve the understanding of these phenomena, the conceptual detail is used, aiming the standardization of the concept. Objective: The aim of this article is to discuss a mixed method developed and employed to develop a theoretical network model of the concept of gender violence. Method: From a systematic search, 195 concepts of gender violence and substitute terms were collected, which were analysed based on Rodgers' evolutionary theory. It was used the function of discovering association rules of the Knowledge Discovery in Databases process, a method supported by artificial intelligence, to identify consequential and causal relationships between antecedents, attributes and consequents identified in the previous conceptual analysis. The interpretation and validation of the discovered rules for gender violence was carried out through content analysis. Results: This mixed method made it possible to use substitute terms for the term “gender violence”, enhancing conceptual analysis. The use of artificial intelligence resources allowed the identification of relationships between the construction of the concepts included in the analysis.