A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow-up in patients with acute coronary syndrome

Syed Waseem Abbas Sherazi; Jang-Whan Bae; Jong Yun Lee

doi:10.1371/journal.pone.0249338

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Open Access

Peer-reviewed

Research Article

A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow-up in patients with acute coronary syndrome

Syed Waseem Abbas Sherazi,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk, South Korea
⨯
Jang-Whan Bae,

Roles Data curation, Formal analysis, Supervision, Validation

Affiliation Department of Internal Medicine, College of Medicine, Chungbuk National University, Cheongju, Chungbuk, South Korea
⨯
Jong Yun Lee

Roles Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Writing – review & editing

* E-mail: jongyun@chungbuk.ac.kr

Affiliation Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk, South Korea

https://orcid.org/0000-0001-5526-946X

⨯

A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow-up in patients with acute coronary syndrome

Syed Waseem Abbas Sherazi,
Jang-Whan Bae,
Jong Yun Lee

Published: June 11, 2021
https://doi.org/10.1371/journal.pone.0249338

About the Authors

Syed Waseem Abbas Sherazi

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk, South Korea

Jang-Whan Bae

Roles Data curation, Formal analysis, Supervision, Validation

Affiliation Department of Internal Medicine, College of Medicine, Chungbuk National University, Cheongju, Chungbuk, South Korea

Jong Yun Lee

Roles Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Writing – review & editing

* E-mail: jongyun@chungbuk.ac.kr

Affiliation Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk, South Korea

https://orcid.org/0000-0001-5526-946X

Competing Interests

The authors have declared that no competing interests exist.

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Machine learning
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Myocardial infarction
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Forecasting
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Coronary artery bypass grafting
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Machine learning algorithms
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Preprocessing
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Medical risk factors
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Cardiovascular disease risk
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