Advanced Cardiovascular Health Management Through Comprehensive Risk Assessment and Predictive Modeling of Cardiac Arrest-Reference-Cited by-同舟云学术

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Advanced Cardiovascular Health Management Through Comprehensive Risk Assessment and Predictive Modeling of Cardiac Arrest

Published:2024-03-14 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
language:
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Author:

Guharoy Rabel¹,Dubey Brahmanand²,Mohapatra Srikanta Kumar³,Sidharth Suhel⁴

Affiliation:

1. Rashtriya Raksha University,SITAICS,Gandhinagar,India

2. NIT Durgapur,Department of CSE,Durgapur,India

3. Chitkara University Institute Of Engineering and Technology, Chitkara University,Punjab,India

4. BVDU, DET,Department of AIML,Navi Mumbai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10522096/10522101/10522273.pdf?arnumber=10522273

Reference17 articles.

1. Improved stacked ensemble with genetic algorithm for automatic ECG diagnosis of children living in high-altitude areas

2. Machine learning-based smart wearable system for cardiac arrest monitoring using hybrid computing

3. Analysis of performance metrics of heart failured patients using Python and machine learning algorithms

4. HCBiLSTM: A hybrid model for predicting heart disease using CNN and BiLSTM algorithms

5. Towards Precise Lung Carcinoma Classification: Federated Learning Enhanced CNNs

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