Comparing the Performance of Machine Learning Models and Conventional Risk Scores for Predicting Major Adverse Cardiovascular Cerebrovascular Events After Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Systematic Review and Meta-Analysis
Comparing the Performance of Machine Learning Models and Conventional Risk Scores for Predicting Major Adverse Cardiovascular Cerebrovascular Events After Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Systematic Review and Meta-Analysis
Min-Young Yu
1
* , MSN ;
Hae Young Yoo
2
* , PhD ;
Ga In Han
1
, MS ;
Eun-Jung Kim
1
, MSN ;
Youn-Jung Son
2
, PhD
1
Graduate School of Nursing, Chung-Ang University, Seoul, Republic of Korea
2
Red-Cross College of Nursing, Chung-Ang University, Seoul, Republic of Korea
*these authors contributed equally
Corresponding Author:
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Youn-Jung Son, PhD
-
Red-Cross College of Nursing, Chung-Ang University
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84 Heukseokro, Dongjak gu
-
Seoul 06974
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Republic of Korea
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Phone:
82 2-820-5198
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Email: yjson@cau.ac.kr