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

• मुख्य लेखकों: Deming Kong (लेखक), Ye Tao (लेखक), Haiyan Xiao (लेखक), Huini Xiong (लेखक), Weizhong Wei (लेखक), Miao Cai (लेखक)
• स्वरूप: पुस्तक
• प्रकाशित: Frontiers Media S.A., 2024-01-01T00:00:00Z.
• विषय: article
• ऑनलाइन पहुंच: Connect to this object online.

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...