Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes [PDF]
Although most pregnancies result in a good outcome, complications are not uncommon and can be associated with serious implications for mothers and babies. Predictive modeling has the potential to improve outcomes through better understanding of risk factors, heightened surveillance for high risk patients, and more timely and appropriate interventions ...
arxiv +1 more source
Tracking the Transmission Dynamics of COVID-19 with a Time-Varying Coefficient State-Space Model [PDF]
The spread of COVID-19 has been greatly impacted by regulatory policies and behavior patterns that vary across counties, states, and countries. Population-level dynamics of COVID-19 can generally be described using a set of ordinary differential equations, but these deterministic equations are insufficient for modeling the observed case rates, which ...
arxiv +1 more source
Impact of chronic fetal hypoxia and inflammation on cardiac pacemaker cell development [PDF]
Chronic fetal hypoxia and infection are examples of adverse conditions during complicated pregnancy, which impact cardiac myogenesis and increase the lifetime risk of heart disease. However, the effects that chronic hypoxic or inflammatory environments exert on cardiac pacemaker cells are poorly understood.
arxiv +1 more source
Image Segmentation of Zona-Ablated Human Blastocysts [PDF]
Automating human preimplantation embryo grading offers the potential for higher success rates with in vitro fertilization (IVF) by providing new quantitative and objective measures of embryo quality. Current IVF procedures typically use only qualitative manual grading, which is limited in the identification of genetically abnormal embryos.
arxiv +1 more source
Midwifery Learning and Forecasting: Predicting Content Demand with User-Generated Logs [PDF]
Every day, 800 women and 6,700 newborns die from complications related to pregnancy or childbirth. A well-trained midwife can prevent most of these maternal and newborn deaths. Data science models together with logs generated by users of online learning applications for midwives can help to improve their learning competencies.
arxiv +1 more source
Combined Diffusion-Relaxometry MRI to Identify Dysfunction in the Human Placenta [PDF]
Purpose: A combined diffusion-relaxometry MR acquisition and analysis pipeline for in-vivo human placenta, which allows for exploration of coupling between T2* and apparent diffusion coefficient (ADC) measurements in a sub 10 minute scan time. Methods: We present a novel acquisition combining a diffusion prepared spin-echo with subsequent gradient ...
arxiv +1 more source
Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration [PDF]
A high-risk pregnancy is a pregnancy complicated by factors that can adversely affect the outcomes of the mother or the infant. Health insurers use algorithms to identify members who would benefit from additional clinical support. This work presents the implementation of a real-world ML-based system to assist care managers in identifying pregnant ...
arxiv
Assessment of Fetal and Maternal Well-Being During Pregnancy Using Passive Wearable Inertial Sensor [PDF]
Assessing the health of both the fetus and mother is vital in preventing and identifying possible complications in pregnancy. This paper focuses on a device that can be used effectively by the mother herself with minimal supervision and provide a reasonable estimation of fetal and maternal health while being safe, comfortable, and easy to use.
arxiv
Estimating Countries with Similar Maternal Mortality Rate using Cluster Analysis and Pairing Countries with Identical MMR [PDF]
In the evolving world, we require more additionally the young era to flourish and evolve into developed land. Most of the population all around the world are unaware of the complications involved in the routine they follow while they are pregnant and how hospital facilities affect maternal health. Maternal Mortality is the death of a pregnant woman due
arxiv
Estimating uterine activity from electrohysterogram measurements via statistical tensor decomposition [PDF]
Complications during pregnancy and labor are common and can be especially detrimental in populations with limited access to healthcare. A promising technology to address these complications is the electrohysterogram (EHG), which measures abdominal electric potentials.
arxiv