Predicting preterm birth using auto-ML frameworks: a large observational study using electronic inpatient discharge data

BackgroundTo develop and compare different AutoML frameworks and machine learning models to predict premature birth.MethodsThe study used a large electronic medical record database to include 715,962 participants who had the principal diagnosis code of childbirth. Three Automatic Machine Learning (A...

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Main Authors: Deming Kong (Author), Ye Tao (Author), Haiyan Xiao (Author), Huini Xiong (Author), Weizhong Wei (Author), Miao Cai (Author)
Format: Book
Published: Frontiers Media S.A., 2024-01-01T00:00:00Z.
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3rd Floor Main Library

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