A Hybrid Multi-Modal Deep Learning Architecture for Early Detection of Post-COVID Cardiac Disorders
Keywords:
Post-COVID cardiovascular disorder, Hybrid deep learning, CNN-LSTM , Ensemble learning, Adaptive score integration, Early disease detection.Abstract
The COVID-19 pandemic has resulted in a rise in post-acute cardiac cases such as myocarditis andarrhythmias, thus emphasizing the need for early detection systems. The traditional methods ofdiagnosis are not sensitive enough to detect subclinical conditions, thus causing delays in treatment and higher morbidity rates.
References
Chilazi M, Duffy EY, Thakkar A, Michos ED. COVID and cardiovascular disease: what we know in 2021. Current atherosclerosis reports. 2021 Jul;23(7):37.
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Published
2024-03-15
How to Cite
D. Jeyabharathi , , N. N. Krishna Veni , E. Sucila. (2024). A Hybrid Multi-Modal Deep Learning Architecture for Early Detection of Post-COVID Cardiac Disorders. Journal of Computational Analysis and Applications (JoCAAA), 33(2), 2242–2262. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4871
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