AIMC Topic: Parity
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Prediction of severe adverse neonatal outcomes at the second stage of labour using machine learning: a retrospective cohort study.
BJOG : an international journal of obstetrics and gynaecology
Apr 15, 2021
OBJECTIVE: To create a personalised machine learning model for prediction of severe adverse neonatal outcomes (SANO) during the second stage of labour.
Deep Learning Image Analysis of Benign Breast Disease to Identify Subsequent Risk of Breast Cancer.
JNCI cancer spectrum
Jan 11, 2021
BACKGROUND: New biomarkers of risk may improve breast cancer (BC) risk prediction. We developed a computational pathology method to segment benign breast disease (BBD) whole slide images into epithelium, fibrous stroma, and fat. We applied our method...
Prediction of obstetrical and fetal complications using automated electronic health record data.
American journal of obstetrics and gynecology
Oct 22, 2020
An increasing number of delivering women experience major morbidity and mortality. Limited work has been done on automated predictive models that could be used for prevention. Using only routinely collected obstetrical data, this study aimed to devel...
Humans
Machine Learning
Retrospective Studies
Electronic Health Records
Pregnancy
Female
Blood Pressure
Pre-Eclampsia
Maternal Age
Postpartum Hemorrhage
Hypoxia-Ischemia, Brain
Stillbirth
Premature Birth
Parity
Reproducibility of Results
Adult
Time Factors
Clinical Decision Rules
Pregnancy in Obesity
Routinely Collected Health Data
Uterine Rupture
Obstetric Labor Complications
Prediction of vaginal birth after cesarean deliveries using machine learning.
American journal of obstetrics and gynecology
Jan 30, 2020
BACKGROUND: Efforts to reduce cesarean delivery rates to 12-15% have been undertaken worldwide. Special focus has been directed towards parturients who undergo a trial of labor after cesarean delivery to reduce the burden of repeated cesarean deliver...
Fetal Weight
Extraction, Obstetrical
Trial of Labor
Uterine Rupture
Vaginal Birth after Cesarean
Adult
Risk Assessment
ROC Curve
Organ Size
Area Under Curve
Tertiary Care Centers
Feasibility Studies
Head
Gestational Age
Delivery, Obstetric
Apgar Score
Female
Infant, Newborn
Cesarean Section
Parity
Risk Factors
Humans
Machine Learning
Retrospective Studies
Pregnancy
Metabolomics meets machine learning: Longitudinal metabolite profiling in serum of normal versus overconditioned cows and pathway analysis.
Journal of dairy science
Sep 20, 2019
This study aimed to investigate the differences in the metabolic profiles in serum of dairy cows that were normal or overconditioned when dried off for elucidating the pathophysiological reasons for the increased health disturbances commonly associat...
Prediction of metabolic status of dairy cows in early lactation with on-farm cow data and machine learning algorithms.
Journal of dairy science
Aug 30, 2019
Metabolic status of dairy cows in early lactation can be evaluated using the concentrations of plasma β-hydroxybutyrate (BHB), free fatty acids (FFA), glucose, insulin, and insulin-like growth factor 1 (IGF-1). These plasma metabolites and metabolic ...
Arterial stiffness in normal pregnancy as assessed by digital pulse wave analysis by photoplethysmography - A longitudinal study.
Pregnancy hypertension
Nov 13, 2018
INTRODUCTION: It might in the future be valuable to screen for increased maternal arterial stiffness, i.e. low compliance, since it is associated with development of hypertensive complications in pregnancy. Digital pulse wave analysis (DPA) is an eas...
Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women.
Annals of epidemiology
Aug 24, 2018
PURPOSE: Spontaneous preterm birth is a leading cause of perinatal mortality in the United States, occurring disproportionately among non-Hispanic black women compared to other race-ethnicities. Clinicians lack tools to identify first-time mothers at...
Hygroscopic dilators vs balloon catheter ripening of the cervix for induction of labor in nulliparous women at term: Retrospective study.
PloS one
Dec 22, 2017
OBJECTIVE: To compare the efficacy and safety of hygroscopic dilators and balloon catheters for ripening of the cervix in induction of labor.
Changes in maternal placental growth factor levels during term labour.
Placenta
Nov 8, 2017
UNLABELLED: Placental growth factor (PlGF) has important angiogenic function that is critical to placental development. Lower levels of PlGF are associated with fetal growth restriction, pre-eclampsia and intrapartum fetal compromise. The aim of this...
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