Published on in Vol 10, No 2 (2022): February
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/34932, first published
.
![Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Electronic Health Record Data: Machine Learning Study Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Electronic Health Record Data: Machine Learning Study](https://asset.jmir.pub/assets/1be5beb8f97f123d3307bfe635264c1d.png 480w,https://asset.jmir.pub/assets/1be5beb8f97f123d3307bfe635264c1d.png 960w,https://asset.jmir.pub/assets/1be5beb8f97f123d3307bfe635264c1d.png 1920w,https://asset.jmir.pub/assets/1be5beb8f97f123d3307bfe635264c1d.png 2500w)
Journals
- Shara N, Mirabal-Beltran R, Talmadge B, Falah N, Ahmad M, Dempers R, Crovatt S, Eisenberg S, Anderson K. Use of Machine Learning for Early Detection of Maternal Cardiovascular Conditions: Retrospective Study Using Electronic Health Record Data. JMIR Cardio 2024;8:e53091 View