Robotics & Machine Learning Daily News2024,Issue(Apr.8) :56-57.

University of Strathclyde Reports Findings in Preeclampsia [Machine learning-enabled maternal risk assessment for women with pre-eclampsia (the PIERS-ML model): a modelling study]

Robotics & Machine Learning Daily News2024,Issue(Apr.8) :56-57.

University of Strathclyde Reports Findings in Preeclampsia [Machine learning-enabled maternal risk assessment for women with pre-eclampsia (the PIERS-ML model): a modelling study]

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Pregnancy Complication s - Preeclampsia is the subject of a report.According to news originating from Glasgow, United Kingdom, by NewsRx correspondents, research stated,“Affecting 2 -4% of pregnancies, pre-eclampsia is a leading cause of maternal d eath and morbidity worldwide.Using routinely available data, we aimed to develo p and validate a novel machine learning-basedand clinical setting-responsive ti me-of-disease model to rule out and rule in adverse maternal outcomes inwomen p resenting with pre-eclampsia.”

Key words

Glasgow/United Kingdom/Europe/Cyborgs/Eclampsia/Emerging Technologies/Health and Medicine/Machine Learning/Obste trics/Preeclampsia/Pregnancy Complications/Pregnancy-Induced Hypertension/Ri sk and Prevention/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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