Enhancing Cardiovascular Disease Prediction via Hybrid Deep Learning Architectures: A Step Towards Smart Healthcare-Reference-Cited by-同舟云学术

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Enhancing Cardiovascular Disease Prediction via Hybrid Deep Learning Architectures: A Step Towards Smart Healthcare

Published:2023-11-27 Issue: Volume:3 Page:1-6
ISSN:
Container-title:2023 2nd International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)
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Author:

Murtaza Aitzaz Ahmed¹,Saher Amina²,Mohyuddin Hassan³,Moosavi Syed Kumayl Raza⁴,Zafar Muhammad Hamza⁵,Sanfilippo Filippo⁵

Affiliation:

1. CUST,Dept. of Mechanical Engineering,Islamabad,Pakistan

2. NUST,School of Natural Sciences,Islamabad,Pakistan

3. CUST,Dept. of Electrical Engineering,Islamabad,Pakistan

4. NUST,SEECS,Islamabad,Pakistan

5. University of Agder,Dept. of Engineering Sciences,Grimstaad,Norway

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10395910/10396660/10396716.pdf?arnumber=10396716

Reference18 articles.

1. Cardiovascular diseases (cvds),2023

2. A review on coronary artery disease, its risk factors, and therapeutics

3. The top 10 causes of death,2023

4. Population-based study of event-rate, incidence, case fatality, and mortality for all acute vascular events in all arterial territories (Oxford Vascular Study)

5. Artificial Intelligence in Cardiology

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