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: | , , , , , |
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| Format: | Book |
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Frontiers Media S.A.,
2024-01-01T00:00:00Z.
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |