Kalman Filter Enhanced LSTM Model for Early Detection and  Progression Tracking of Cardiovascular Diseases

Arpit ,Sushil Kumar,Saurav Raj,Chaynika Srivastava

Kalman Filter Enhanced LSTM Model for Early Detection and Progression Tracking of Cardiovascular Diseases

Authors

Arpit ,Sushil Kumar,Saurav Raj,Chaynika Srivastava

Keywords:

Abstract

Cardiovascular diseases (CVDs) remain a leading cause of global mortality, emphasizing theurgent need for intelligent systems capable of early detection and continuous health monitoring. This study proposes

References

World Health Organization, 2023. Global Report on Cardiovascular Diseases.

Kumar, N., et al., 2021. Limitations of Conventional Cardiac Diagnostic Systems. Journal of Medical Systems

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Published

2024-10-15

How to Cite

Arpit ,Sushil Kumar,Saurav Raj,Chaynika Srivastava. (2024). Kalman Filter Enhanced LSTM Model for Early Detection and Progression Tracking of Cardiovascular Diseases . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2489–2496. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4374