AIMC Topic: Pregnancy
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Comparing regression, naive Bayes, and random forest methods in the prediction of individual survival to second lactation in Holstein cattle.
Journal of dairy science
Aug 22, 2019
In this study, we compared multiple logistic regression, a linear method, to naive Bayes and random forest, 2 nonlinear machine-learning methods. We used all 3 methods to predict individual survival to second lactation in dairy heifers. The data set ...
Semiautomatic Fetal Intelligent Navigation Echocardiography Has the Potential to Aid Cardiac Evaluations Even in Less Experienced Hands.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Aug 14, 2019
OBJECTIVES: To investigate the interobserver and intraobserver variability and corresponding learning curve in a semiautomatic approach for a standardized assessment of the fetal heart (fetal intelligent navigation echocardiography [FINE]).
How and why should the radiologist look at the placenta?
European radiology
Aug 7, 2019
This editorial comment refers to the article "Identification of suspicious invasive placentation based on clinical MRI data using textural features and automated machine learning" by Sun et al. in European Radiology. KEY POINTS: • Understanding how t...
Social Media Surveillance of Multiple Sclerosis Medications Used During Pregnancy and Breastfeeding: Content Analysis.
Journal of medical Internet research
Aug 7, 2019
BACKGROUND: Multiple sclerosis (MS) is a chronic neurological disease occurring mostly in women of childbearing age. Pregnant women with MS are usually excluded from clinical trials; as users of the internet, however, they are actively engaged in thr...
Estimation of the radiation dose in pregnancy: an automated patient-specific model using convolutional neural networks.
European radiology
Jun 21, 2019
OBJECTIVES: The conceptus dose during diagnostic imaging procedures for pregnant patients raises health concerns owing to the high radiosensitivity of the developing embryo/fetus. The aim of this work is to develop a methodology for automated constru...
An artificial neural network for the prediction of assisted reproduction outcome.
Journal of assisted reproduction and genetics
Jun 19, 2019
PURPOSE: To construct and validate an efficient artificial neural network (ANN) based on parameters with statistical correlation to live birth, to be used as a comprehensive tool for the prediction of the clinical outcome for patients undergoing ART.
Quality of working life from the perspective of different groups of professionals working in a maternity hospital.
Ciencia & saude coletiva
Jun 7, 2019
The relationship between people and work has a direct impact on quality of life and health. The objective of this article is to compare perceived levels of Quality of Working Life (QWL) across three different groups of professionals. Cross-sectional ...
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks.
Magnetic resonance imaging
Jun 7, 2019
MR images of fetuses allow clinicians to detect brain abnormalities in an early stage of development. The cornerstone of volumetric and morphologic analysis in fetal MRI is segmentation of the fetal brain into different tissue classes. Manual segment...
Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa.
Magnetic resonance imaging
May 15, 2019
PURPOSE: To evaluate whether a machine learning (ML) analysis employing MRI-derived texture analysis (TA) features could be useful in assessing the presence of placenta accreta spectrum (PAS) in patients with placenta previa (PP). The hypothesis is t...
Sensitivity and Specificity
Humans
Magnetic Resonance Imaging
Placenta Accreta
Machine Learning
Placenta
Predictive Value of Tests
Female
Placenta Previa
Algorithms
Image Interpretation, Computer-Assisted
Bayes Theorem
Reproducibility of Results
Retrospective Studies
Prenatal Diagnosis
Adult
Pregnancy
A comparison of machine learning algorithms and covariate balance measures for propensity score matching and weighting.
Biometrical journal. Biometrische Zeitschrift
May 14, 2019
Propensity score matching (PSM) and propensity score weighting (PSW) are popular tools to estimate causal effects in observational studies. We address two open issues: how to estimate propensity scores and assess covariate balance. Using simulations,...
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