Use of Machine Learning for Early Detection of Maternal Cardiovascular Conditions: Retrospective Study Using Electronic Health Record Data.
Nawar SharaRoxanne Mirabal-BeltranBethany TalmadgeNoor FalahMaryam F AhmadRamon DempersSamantha CrovattSteven EisenbergKelley M AndersonPublished in: JMIR cardio (2024)
This study provides additional evidence to support ML in obstetrical patients to enhance the early detection of cardiovascular conditions during pregnancy. ML can synthesize multiday patient presentations to enhance provider decision-making and potentially reduce maternal health disparities.
Keyphrases
- electronic health record
- machine learning
- end stage renal disease
- decision making
- ejection fraction
- newly diagnosed
- healthcare
- public health
- primary care
- chronic kidney disease
- clinical decision support
- big data
- mental health
- pregnancy outcomes
- prognostic factors
- case report
- peritoneal dialysis
- adverse drug
- body mass index
- health information
- pregnant women
- deep learning
- social media
- health promotion