Cargando…
Multimodal Deep Learning for Predicting Adverse Birth Outcomes Based on Early Labour Data
Cardiotocography (CTG) is a widely used technique to monitor fetal heart rate (FHR) during labour and assess the health of the baby. However, visual interpretation of CTG signals is subjective and prone to error. Automated methods that mimic clinical guidelines have been developed, but they failed t...
Autores principales: | Asfaw, Daniel, Jordanov, Ivan, Impey, Lawrence, Namburete, Ana, Lee, Raymond, Georgieva, Antoniya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294944/ https://www.ncbi.nlm.nih.gov/pubmed/37370663 http://dx.doi.org/10.3390/bioengineering10060730 |
Ejemplares similares
-
Prediction of Fetal Blood Pressure during Labour with Deep Learning Techniques
por: Tolladay, John, et al.
Publicado: (2023) -
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal
por: Dinsdale, Nicola K., et al.
Publicado: (2021) -
2. Labour and birth
por: Ross-Davie, Mary, et al.
Publicado: (2021) -
Birth in Brazil: national survey into labour and birth
por: do Carmo Leal, Maria, et al.
Publicado: (2012) -
Extreme preterm birth in the right place: a quality improvement project
por: Edwards, Katherine, et al.
Publicado: (2020)