The smart earlier prediction of conginental heart disease in pregnancy using deep learning model-Reference-Cited by-同舟云学术

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The smart earlier prediction of conginental heart disease in pregnancy using deep learning model

Published:2023-12-14 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC)
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Author:

Tariq Aftab¹,Gill Ahmad¹,Hussain Hafiz Khawar²,Jiwani Nasmin³,Logeshwaran J.⁴

Affiliation:

1. American national university,1813 E Main St,Salem,VA,24153

2. DePaul University,243 S Wabash Ave,Chicago,IL,60604

3. University of The Cumberlands,Dept. of Information Technology,Williamsburg,KY,USA

4. Sri Eshwar College of Engineering,Department of ECE,Coimbatore,INDIA,641202

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10531298/10531299/10531366.pdf?arnumber=10531366

Reference23 articles.

1. Predicting congenital heart defects: A comparison of three data mining methods

2. Predicting congenital heart disease using machine learning techniques

3. Expert-level prenatal detection of complex congenital heart disease from screening ultrasound using deep learning;Arnaout;medRxiv,2020

4. Deep Learning for Improving the Effectiveness of Routine Prenatal Screening for Major Congenital Heart Diseases

5. Real-Time Detection of Cardiac Arrest Using Deep Learning

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