Development and validation of an electrocardiographic artificial intelligence model for detection of peripartum cardiomyopathy-Reference-Cited by-同舟云学术

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Development and validation of an electrocardiographic artificial intelligence model for detection of peripartum cardiomyopathy

Published:2024-04 Issue:4 Volume:6 Page:101337
ISSN:2589-9333
Container-title:American Journal of Obstetrics & Gynecology MFM
language:en
Short-container-title:American Journal of Obstetrics & Gynecology MFM

Author:

Karabayir Ibrahim^ORCID,Wilkie Gianna,Celik Turgay,Butler Liam,Chinthala Lokesh,Ivanov Alexander,Moore Simas Tiffany A.,Davis Robert L.,Akbilgic Oguz^ORCID

Funder

College of Dentistry, Health Science Center, University of Tennessee

Health Science Center, University of Tennessee

National Institutes of Health

Bill and Melinda Gates Foundation

Publisher

Elsevier BV

Reference34 articles.

1. Peripartum cardiomyopathy;Demakis;Circulation,1971

2. Peripartum cardiomyopathy: JACC State-of-the-Art Review;Davis;J Am Coll Cardiol,2020

3. Incidence, clinical characteristics, and risk factors of peripartum cardiomyopathy in Nigeria: results from the PEACE registry;Karaye;ESC Heart Fail,2020

4. Peripartum cardiomyopathy. Insights from Haiti regarding a disease of unknown etiology;Fett;Minn Med,2002

5. Peripartum cardiomyopathy;Sliwa;Lancet,2006

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial;Nature Medicine;2024-09-02

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