Predict Pregnancy Outcomes in the COVID-19 Pandemic Using Electronic Health Records and Machine Learning Approach
Predict Pregnancy Outcomes in the COVID-19 Pandemic Using Electronic Health Records and Machine Learning Approach
Tianchu Lyu,Chen Liang
2022 · DOI: 10.1109/ICHI54592.2022.00079
IEEE International Conference on Healthcare Informatics · 1 Citations
Abstract
COVID-19 negatively impacts maternal health. We use national electronic health records data and machine learning techniques to recognize risk factors that are predictive of negative maternal outcomes in the pandemic. The cohort has been built with 191,403 gestations. The findings of this study will help advance the clinical decision support system for preventing negative maternal outcomes and promoting maternal health.