Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms.
Paul FergusAbir HussainDhiya Al-JumeilyDe-Shuang HuangNizar BouguilaPublished in: Biomedical engineering online (2017)
The results demonstrate that machine learning significantly improves the efficiency for the detection of caesarean section and normal vaginal deliveries using foetal heart rate signals compared with obstetrician and midwife predictions and systems reported in previous studies.