Electronic Health Records to Predict Gestational Diabetes Risk

Volume: 41, Issue: 5, Pages: 301 - 304
Published: May 1, 2020
Abstract
Gestational diabetes mellitus is a common pregnancy complication associated with significant adverse health outcomes for both women and infants. Effective screening and early prediction tools as part of routine clinical care are needed to reduce the impact of the disease on the baby and mother. Using large-scale electronic health records, Artzi and colleagues developed and evaluated a machine learning driven tool to identify women at high and...
Paper Details
Title
Electronic Health Records to Predict Gestational Diabetes Risk
Published Date
May 1, 2020
Volume
41
Issue
5
Pages
301 - 304
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