A Voting Ensemble based Machine Learning Approach to Predict Cardiovascular Disease-Reference-Cited by-同舟云学术

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A Voting Ensemble based Machine Learning Approach to Predict Cardiovascular Disease

Published:2023-12-13 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 26th International Conference on Computer and Information Technology (ICCIT)
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Author:

Abidin Ahmad Jainul¹,Borhan Rownak²,Akhter Arifa³,Jahan Sanjeda⁴,Based Md Abdul⁴,Kader Zilany Abdul⁵

Affiliation:

1. Bangladesh University of Professionals,Information and Communication Technology,Dhaka,Bangladesh

2. Nara Institute of Science and Technology,Information Science,Nara,Japan

3. Jagannath Univeristy,Computer Science and Engineering,Dhaka,Bangladesh

4. Dhaka International University,Computer Science and Engineering,Dhaka,Bangladesh

5. Gono Bishwabidyalay,Computer Science and Engineering,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10440723/10440967/10441059.pdf?arnumber=10441059

Reference23 articles.

1. Cardiovascular disease

2. Current status of heart failure: global and Korea

3. Routine mortality surveillance to identify the cause of death pattern for out-of-hospital adult (aged 12+ years) deaths in Bangladesh: introduction of automated verbal autopsy

4. Primary prevention of coronary heart disease: integration of new data, evolving views, revised goals, and role of rosuvastatin in management. A comprehensive survey

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