Using graph learning to understand adverse pregnancy outcomes and stress pathways

Autor:	Cosma Rohilla Shalizi, Octavio Mesner, Tamar Krishnamurti, Ann Borders, Elizabeth A. Casman, Alex Davis, Hyagriv N. Simhan, Lauren Keenan-Devlin
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	Gestational hypertension Hydrocortisone Maternal Health Social Sciences Blood Pressure Vascular Medicine Families 0302 clinical medicine Endocrinology Pre-Eclampsia Pregnancy Medicine and Health Sciences Psychology Prospective Studies Children 030219 obstetrics & reproductive medicine Multidisciplinary Obstetrics Gestational age Obstetrics and Gynecology Stillbirth 3. Good health Gestational diabetes Hypertension Medicine Female medicine.symptom Live birth Live Birth Infants Algorithms Infant Premature Research Article Adult medicine.medical_specialty Endocrine Disorders Science Psychological Stress Gestational Age Preterm Birth Statistics Nonparametric 03 medical and health sciences Hypertensive Disorders in Pregnancy Mental Health and Psychiatry medicine Diabetes Mellitus Humans Gestational Diabetes business.industry Infant Newborn Biology and Life Sciences Hypertension Pregnancy-Induced Infant Low Birth Weight medicine.disease Delivery Obstetric Preeclampsia United States Abortion Spontaneous Pregnancy Complications Low birth weight Diabetes Gestational Age Groups Metabolic Disorders People and Places Birth Small for gestational age Women's Health Population Groupings business Premature rupture of membranes 030217 neurology & neurosurgery Biomarkers Stress Psychological Hair
Zdroj:	PLoS ONE, Vol 14, Iss 9, p e0223319 (2019) PLoS ONE
ISSN:	1932-6203
Popis:	To identify pathways between stress indicators and adverse pregnancy outcomes, we applied a nonparametric graph-learning algorithm, PC-KCI, to data from an observational prospective cohort study. The Measurement of Maternal Stress study (MOMS) followed 744 women with a singleton intrauterine pregnancy recruited between June 2013 and May 2015. Infant adverse pregnancy outcomes were prematurity (
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cadf3b8c536b03aff8ea86e49597180 https://doaj.org/article/5962b07d441b43c0ad736fc173e99c0e Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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