Data-driven insights into labor progression with Gaussian processes
T Zhoroev, EF Hamilton, PA Warrick - Bioengineering, 2024 - mdpi.com
Clinicians routinely perform pelvic examinations to assess the progress of labor. Clinical
guidelines to interpret these examinations, using time-based models of cervical dilation, are …
guidelines to interpret these examinations, using time-based models of cervical dilation, are …
Gaussian processes for topology inference of directed graphs
In machine learning applications, the data are often high-dimensional and intrinsically
related. It is often of interest finding the underlying structure and the causal relationships of …
related. It is often of interest finding the underlying structure and the causal relationships of …
Topology Inference of Directed Graphs by Gaussian Processes With Sparsity Constraints
In machine learning applications, data are often high-dimensional and intricately related. It is
often of interest to find the underlying structure and Granger causal relationships among the …
often of interest to find the underlying structure and Granger causal relationships among the …
KOMPOS: Connecting causal knots in large nonlinear time series with non-parametric regression splines
Recovering causality from copious time series data beyond mere correlations has been an
important contributing factor in numerous scientific fields. Most existing works assume …
important contributing factor in numerous scientific fields. Most existing works assume …
Independent analysis of decelerations and resting periods through CEEMDAN and spectral-based feature extraction improves cardiotocographic assessment
Fetal monitoring is commonly based on the joint recording of the fetal heart rate (FHR) and
uterine contraction signals obtained with a cardiotocograph (CTG). Unfortunately, CTG …
uterine contraction signals obtained with a cardiotocograph (CTG). Unfortunately, CTG …
Discovering causalities from cardiotocography signals using improved convergent cross mapping with Gaussian processes
G Feng, JG Quirk, PM Djurić - ICASSP 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Convergent cross mapping (CCM) is designed for causal discovery in coupled time series,
where Granger causality may not be applicable because of a separability assumption …
where Granger causality may not be applicable because of a separability assumption …
Extracting interpretable features for fetal heart rate recordings with Gaussian processes
G Feng, JG Quirk, PM Djurić - 2019 IEEE 8th International …, 2019 - ieeexplore.ieee.org
During labor, fetal heart rate (FHR) and uterine activity (UA) are continuously monitored with
Cardiotocography (CTG). The FHR and UA signals are visually inspected by obstetricians to …
Cardiotocography (CTG). The FHR and UA signals are visually inspected by obstetricians to …
Fetal heart rate analysis with Gaussian processes
G Feng, J Gerald Quirk, C Heiselman… - … Technologies and Signal …, 2023 - Springer
In this chapter, we present Gaussian process-based machine learning solutions to important
tasks in computerized fetal heart rate analysis. Gaussian processes provide a powerful …
tasks in computerized fetal heart rate analysis. Gaussian processes provide a powerful …