首页|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]
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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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.”
GlasgowUnited KingdomEuropeCyborgsEclampsiaEmerging TechnologiesHealth and MedicineMachine LearningObste tricsPreeclampsiaPregnancy ComplicationsPregnancy-Induced HypertensionRi sk and PreventionWomen’s Health
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