A Machine Learning Model for the Early Prediction of Cardiovascular Disease in Patients-Reference-Cited by-同舟云学术

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A Machine Learning Model for the Early Prediction of Cardiovascular Disease in Patients

Published:2023-12-07 Issue: Volume:20 Page:1-5
ISSN:
Container-title:2023 Second International Conference on Advances in Computational Intelligence and Communication (ICACIC)
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Author:

Abhishek ¹,Bhagat Hutashan Vishal²,Singh Manminder¹

Affiliation:

1. Sant Longowal Institute of Engineering and Technology,Department of Computer Science and Engineering,Sangrur

2. B V Raju Institute of Technology,Department of AI &ML (CSE),Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10434932/10434945/10435210.pdf?arnumber=10435210

Reference24 articles.

1. Data completeness of electronic medical records in primary care: The impact of a program for the care of frail and complex patients;Christou;BMC Med Inform Decis Mak,2020

2. Handling missing data in electronic health records using deep learning with skip-gram autoencoders;Yu;BMC Med Inform Decis Mak,2020

3. Combining Multiple Imputation and Inverse‐Probability Weighting

4. A Bayesian framework for estimating missing familial information in pedigree data;Zhao;Genet Epidemiol,2021

5. The Global Burden of Cardiometabolic Disease Attributable to Major Modifiable Risk Factors;Dey;European Journal of Preventive Cardiology,2019

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