Publications by authors named "Farah Francis"
Article Synopsis
- Uterine contractions during labor can reduce blood flow and oxygen to the fetus, leading to potential hypoxia and neurological damage in babies who are vulnerable.
- Cardiotocography (CTG) is a monitoring technique used to detect fetal hypoxia through heart rate pattern analysis, but its effectiveness is limited due to variability in interpretation and low predictive value of abnormal CTGs.
- Machine learning (ML) has been explored since the early 2000s as a way to improve the accuracy of predicting fetal hypoxia from CTG data, and a review identified 36 studies utilizing ML and signal processing techniques to enhance CTG classification.
Machine Learning to Classify Cardiotocography for Fetal Hypoxia Detection.
Annu Int Conf IEEE Eng Med Biol Soc
July 2023
Fetal hypoxia can cause damaging consequences on babies' such as stillbirth and cerebral palsy. Cardiotocography (CTG) has been used to detect intrapartum fetal hypoxia during labor. It is a non-invasive machine that measures the fetal heart rate and uterine contractions.
View Article and Find Full Text PDFMuch of the knowledge and information needed for enabling high-quality clinical research is stored in free-text format. Natural language processing (NLP) has been used to extract information from these sources at scale for several decades. This paper aims to present a comprehensive review of clinical NLP for the past 15 years in the UK to identify the community, depict its evolution, analyse methodologies and applications, and identify the main barriers.
View Article and Find Full Text PDFBackground: Perivascular spaces, visible on brain magnetic resonance imaging, are thought to be associated with small vessel disease, neuroinflammation, and to be important for cerebral hemodynamics and interstitial fluid drainage.
Aims: To benchmark current knowledge on perivascular spaces associations with risk factors, neurological disorders, and neuroimaging lesions, using systematic review and meta-analysis.
Summary Of Review: We searched three databases for perivascular spaces publications, calculated odds ratios with 95% confidence interval and performed meta-analyses to assess adjusted associations with perivascular spaces.