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Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms
BACKGROUND: Visual inspection of cardiotocography traces by obstetricians and midwives is the gold standard for monitoring the wellbeing of the foetus during antenatal care. However, inter- and intra-observer variability is high with only a 30% positive predictive value for the classification of pat...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498914/ https://www.ncbi.nlm.nih.gov/pubmed/28679415 http://dx.doi.org/10.1186/s12938-017-0378-z |