KNOWLEDGE DISCOVERY IN DATABASES FOR THE SUPPORT TO DECISION-MAKING IN NURSING-RELATED ACTIVITIES

Abstract

Objective: to report experiences of data mining use strategies in two Nursing practice settings. Description of the experience: in both experiences, the Apriori algorithm was used to discover association rules and to identify exception situations. The first experience used data from infant deaths in the metropolitan region of Curitiba, PR. In the second experience, medical records of patients assisted by nurses were used in the risk classification at a private hospital in Curitiba -PR. The first study identified 374general rules and the second, 108, both with their respective exception rules. Conclusion: the application of Knowledge Discovery in Databases can be demonstrated and carried out in two different settings, in order to contribute to decisionmaking by the manager. It is expected that the report reinforces the importance of teaching Nursing Informatics as a decision-making support tool.