Preterm birth and maternal heart disease: A machine learning analysis using the Korean national health insurance database.
Jue Seong LeeEun-Saem ChoiYujin HwangKwang-Sig LeeKi Hoon AhnPublished in: PloS one (2023)
Careful evaluation and management of maternal heart disease during pregnancy would help reduce PTB. Machine learning is an effective prediction model for PTB and the major predictors of PTB included maternal heart disease such as arrhythmia and IHD.
Keyphrases
- machine learning
- preterm birth
- health insurance
- birth weight
- gestational age
- pulmonary hypertension
- pregnancy outcomes
- low birth weight
- artificial intelligence
- affordable care act
- big data
- weight gain
- emergency department
- deep learning
- healthcare
- pregnant women
- quality improvement
- body mass index
- electronic health record