Using Data Mining Techniques to Identify Personas in Breast Cancer Patients

• Felipe Silva UFRN
• Isa Pereira UFRN
• Manuelly Victor UFRN
• Erick Trindade UFRN
• Karliane Vale UFRN
• Flavius Gorgônio UFRN
• Yasmin Rebeca UERN
• Maria de Lourdes Morais UERN

DOI: https://doi.org/10.5753/ercas.2024.238524

Abstract

The use of personas is a strategy adopted in various knowledge domains for identifying archetypes that represent groups of individuals based on data, characteristics, or common behavioral patterns within the group. In this work, this strategy is employed by applying clustering and summarizing techniques to a database of breast cancer patients, which includes behavioral data and the respective treatments the patients underwent. Preliminary results indicate potential for identifying patterns and discovering useful information and insights that relate personas to the adopted treatments and the survival time of the patients.

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