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

Machine Learning (1627) Electronic Health Records (1123) Secondary Use of Clinical Data for Research and Surveillance (398) Tools, Programs and Algorithms (304) Clinical Informatics (1107) Clinical Information and Decision Making (1546) Decision Support for Health Professionals (1287)

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
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New JMIR MedInform: Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing #ehr Data:… https://t.co/dec9ya31ux

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RT @jmirpub: New JMIR MedInform: Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing #ehr Data: Machine Lea…

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RT @jmirpub: New JMIR MedInform: Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing #ehr Data: Machine Lea…

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RT @jmirpub: New JMIR MedInform: Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing #ehr Data: Machine Lea…

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RT @jmirpub: New JMIR MedInform: Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing #ehr Data: Machine Lea…

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RT @jmirpub: New JMIR MedInform: Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing #ehr Data: Machine Lea…

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stefano68 stefano68 @stefano688

RT @jmirpub: New JMIR MedInform: Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing #ehr Data: Machine Lea…

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You Chen, PhD, FAMIA You Chen, PhD, FAMIA @ohpenlab

RT @jmirpub: New JMIR MedInform: Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing #ehr Data: Machine Lea…

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You Chen, PhD, FAMIA You Chen, PhD, FAMIA @ohpenlab

RT @jmirpub: New JMIR MedInform: Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing #ehr Data: Machine Lea…

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#ehr "Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Electronic Health Record… https://t.co/eKDSAh7Myd

8:48 AM · Feb 14, 2022

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Invaryant Invaryant @invaryant

Invaryant, in collaboration with @MedStarHealth , is happy to announce the publication of our paper outlining our s… https://t.co/ED0vZyZTID

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Invaryant Invaryant @invaryant

Our goal at Invaryant is to reverse the #MaternalHealth crisis in the United States by empowering patients and ensu… https://t.co/8rRIj2mKUJ

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Nawar Shara Nawar Shara @NawarShara

Power of ML applied to EHR Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Elec… https://t.co/SwXSh9O9Vw

12:03 PM · Apr 28, 2022

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Nawar Shara Nawar Shara @NawarShara

Power of ML applied to EHR Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Elec… https://t.co/SwXSh9O9Vw

12:03 PM · Apr 28, 2022

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