Maria Ribeiro, Maria Ribeiro, Inês Nunes, Inês Nunes, Inês Nunes, Luísa Castro, . . . Teresa S. Henriques. (2023). Machine learning models based on clinical indices and cardiotocographic features for discriminating asphyxia fetuses-Porto retrospective intrapartum study. Frontiers Media S.A..
Chicago Style (17th ed.) CitationMaria Ribeiro, Maria Ribeiro, Inês Nunes, Inês Nunes, Inês Nunes, Luísa Castro, Luísa Castro, Cristina Costa-Santos, and Teresa S. Henriques. Machine Learning Models Based on Clinical Indices and Cardiotocographic Features for Discriminating Asphyxia Fetuses-Porto Retrospective Intrapartum Study. Frontiers Media S.A., 2023.
MLA (9th ed.) CitationMaria Ribeiro, et al. Machine Learning Models Based on Clinical Indices and Cardiotocographic Features for Discriminating Asphyxia Fetuses-Porto Retrospective Intrapartum Study. Frontiers Media S.A., 2023.