This paper is in the following e-collection/theme issue:

Machine Learning (1465) Electronic Health Records (1053) Secondary Use of Clinical Data for Research and Surveillance (366) Tools, Programs and Algorithms (266) Clinical Informatics (1022) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185)

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

Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Electronic Health Record Data: Machine Learning Study

Authors of this article:

Nawar Shara1 Author Orcid Image ;   Kelley M Anderson2 Author Orcid Image ;   Noor Falah3 Author Orcid Image ;   Maryam F Ahmad3 Author Orcid Image ;   Darya Tavazoei3 Author Orcid Image ;   Justin M Hughes3 Author Orcid Image ;   Bethany Talmadge4 Author Orcid Image ;   Samantha Crovatt4 Author Orcid Image ;   Ramon Dempers4 Author Orcid Image
Article Authors Cited by (1) Tweetations (8) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.