摘要：Nursing consultation for the postpartum period is aimed to identify risks and complications of postpartum women. During the consultation, the nurse is expected to support and provide information and education on breastfeeding, encouraging mothers to breastfeed their infants, thereby reducing the rates of weaning. The literature presents some factors that may contribute to early weaning. This project aims to assess whether Data Mining can help complement the already known risks and complications in the postpartum period. For this purpose, a database was generated from the extension project “Consulta Puerperal de Enfermagem”(Nursing Consultation for the Postpartum Period), in the city of Ponta Grossa. Based on the results obtained, it has been possible to identify the sociodemographic and obstetric profile of nursing mothers, breast problems such as sore nipples and milk retention, among other factors, that influence the practice of weaning. In conclusion, Mining Data provided an opportunity for the identification of relevant and potentially useful factors that may encourage the prevalence of breastfeeding, reducing early weaning, through health education in the postpartum period.
