Subjects: AGENTES INTELIGENTES, SISTEMAS DE RECOMENDAÇÃO, SISTEMAS HÍBRIDOS
ABNT
PEREIRA, João Paulo Aragão. A hybrid model for long-term prediction of glycemic oscillation in individuals with type 1 diabetes and suggesting personalized recommendations. 2022. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2022. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-14032023-092608/. Acesso em: 28 abr. 2024.APA
Pereira, J. P. A. (2022). A hybrid model for long-term prediction of glycemic oscillation in individuals with type 1 diabetes and suggesting personalized recommendations (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3141/tde-14032023-092608/NLM
Pereira JPA. A hybrid model for long-term prediction of glycemic oscillation in individuals with type 1 diabetes and suggesting personalized recommendations [Internet]. 2022 ;[citado 2024 abr. 28 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-14032023-092608/Vancouver
Pereira JPA. A hybrid model for long-term prediction of glycemic oscillation in individuals with type 1 diabetes and suggesting personalized recommendations [Internet]. 2022 ;[citado 2024 abr. 28 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-14032023-092608/