Integrated Machine Learning and Deep Learning Models for Cardiovascular Disease Risk Prediction: A Comprehensive Comparative Study-Reference-Cited by-同舟云学术

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Integrated Machine Learning and Deep Learning Models for Cardiovascular Disease Risk Prediction: A Comprehensive Comparative Study

Published:2024 Issue:01 Volume:16 Page:12-22
ISSN:2150-8402
Container-title:Journal of Intelligent Learning Systems and Applications
language:
Short-container-title:JILSA

Author:

Pathan Shadman Mahmood Khan,Imran Sakan Binte

Publisher

Scientific Research Publishing, Inc.

Reference11 articles.

1. World Health Organization (2021) Cardiovascular Diseases (CVDs). https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds)

2. Artificial Intelligence in Cardiovascular Imaging

3. Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram

4. Cardiovascular-Disease-Dataset. https://www.kaggle.com/

5. Hastie, T., et al. (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Vol. 2, Springer, New York.

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1. Predicting Malaria Dynamics in Burundi Using Deep Learning Models;Journal of Applied Mathematics and Physics;2024

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