Lhia: Um Agente Conversacional Inteligente para Educação em Aleitamento Materno e Recrutamento de Mães Doadoras

• Ano de defesa: 2023
• Autor(a) principal: CORREA, Joeckson dos Santos
• Orientador(a): TELES, Ariel Soares
• Banca de defesa: TELES, Ariel Soares , COUTINHO, Luciano Reis , BECKER, Karin
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Maranhão
• Programa de Pós-Graduação: PROGRAMA DE PÓS-GRADUAÇÃO EM CIÊNCIA DA COMPUTAÇÃO/CCET
• Departamento: DEPARTAMENTO DE INFORMÁTICA/CCET
• País: Brasil
• Palavras-chave em Português: Leite humano; Aleitamento materno exclusivo; Chatbot; Doação de leite humano; Processamento de Linguagem Natural
• Palavras-chave em Inglês: Human milk; Exclusive breastfeeding; Chatbot; Human milk donation; Natural Language Processing
• Área do conhecimento CNPq: Banco de Dados
• Link de acesso: https://tedebc.ufma.br/jspui/handle/tede/5250

Breast milk is the most important way to feed and protect newborns, as it has the components to ensure human health. The Human Milk Banks (HMB) form a network that takes essential services to ensure that newborns and mothers can enjoy the benefits of breast milk. Despite this, there is low adherence to exclusive breastfeeding in Brazil, and human milk stocks available in HMBs are usually below demand. The objective of this work is to co-develop a smart conversational agent for breastfeeding education and human milk donor recruitment for HMBs. The co-development methodology Conversation-Drive Development will be conducted in partnership with health professionals from the HMB of the University Hospital of UFMA. The chatbot will work as a communication and information technology in breastfeeding education for mothers. It is expected that maternal perception, knowledge and attitude will be improved, and thus the prevalence rate of exclusive breastfeeding will increase, in addition to the increase in the number of donors.