Robotics & Machine Learning Daily News2024,Issue(Jan.2) :53-54.

University of Pittsburgh Reports Findings in Machine Learning (Periconceptional dietary patterns and adverse pregnancy and birth outcomes)

Robotics & Machine Learning Daily News2024,Issue(Jan.2) :53-54.

University of Pittsburgh Reports Findings in Machine Learning (Periconceptional dietary patterns and adverse pregnancy and birth outcomes)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is the subject of a report. According to news originatingfrom Pittsburgh, Pennsylvania, by NewsRx correspondents, research stated, “The periconceptionalperiod is a critical window for the origins of adverse pregnancy and birth outcomes, yet little is knownabout the dietary patterns that promote perinatal health. We used machine learning methods to determinethe effect of periconceptional dietary patterns on the risk of preeclampsia, gestational diabetes, pretermbirth, small-for-gestational-age (SGA) birth, and a composite of these outcomes.”

Key words

Pittsburgh/Pennsylvania/United States/North and Central America/Beverage/Cyborgs/Emerging Technologies/Food/Health and Medicine/Machine Learning/Obstetrics/Preeclampsia/Pregnancy Complications/Women’s Health

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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