Source: Biomedical Signal Processing and Control. Unidades: FMRP, FFCLRP
Subjects: DOENÇA DE CHAGAS, FREQUÊNCIA CARDÍACA, APRENDIZADO COMPUTACIONAL, ECOCARDIOGRAFIA, FATORES DE RISCO
ABNT
SILVA, Luiz Eduardo Virgilio da et al. Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning. Biomedical Signal Processing and Control, v. 67, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2021.102513. Acesso em: 02 nov. 2024.APA
Silva, L. E. V. da, Moreira, H. T., Bernardo, M. M. M., Schmidt, A., Romano, M. M. D., Salgado, H. C., et al. (2021). Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning. Biomedical Signal Processing and Control, 67. doi:10.1016/j.bspc.2021.102513NLM
Silva LEV da, Moreira HT, Bernardo MMM, Schmidt A, Romano MMD, Salgado HC, Fazan Júnior R, Tinós R, Marin Neto JA. Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning [Internet]. Biomedical Signal Processing and Control. 2021 ; 67[citado 2024 nov. 02 ] Available from: https://doi.org/10.1016/j.bspc.2021.102513Vancouver
Silva LEV da, Moreira HT, Bernardo MMM, Schmidt A, Romano MMD, Salgado HC, Fazan Júnior R, Tinós R, Marin Neto JA. Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning [Internet]. Biomedical Signal Processing and Control. 2021 ; 67[citado 2024 nov. 02 ] Available from: https://doi.org/10.1016/j.bspc.2021.102513