A biomarker discovery of acute myocardial infarction using feature selection and machine learning

Author:

Mohd Faizal Aizatul Shafiqah,Hon Wei Yin,Thevarajah T. Malathi,Khor Sook Mei,Chang Siow-WeeORCID

Funder

Universiti Malaya Impact Oriented Interdisciplinary Research Grant

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Reference71 articles.

1. Venkatason P et al (2019) In-hospital mortality of cardiogenic shock complicating ST-elevation myocardial infarction in Malaysia: a retrospective analysis of the Malaysian National Cardiovascular Database (NCVD) registry. BMJ Open 9(5):e025734

2. World Health Organization (WHO) (2021) Cardiovascular Disease. Available from: https://www.who.int/cardiovascular_diseases/en. Accessed 13 Oct 2021

3. Amir M, Mappiare M, Indra P (2017) The impact of cytochrome P450 2C19 polymorphism on cardiovascular events in indonesian patients with coronary artery disease. Clin Cardiol Cardiovasc Med 1:15–21

4. Ang CS, Chan KM (2016) A review of coronary artery disease research in Malaysia. Med J Malaysia 74:67–78

5. Institute for Health Metrics and Evaluation (IHME) (2020) GBD 2019 cause and risk summary: cardiovascular disease. Available from: https://www.healthdata.org/results/gbd_summaries/2019. Accessed 9 Apr 2022

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3. Artificial intelligence-based myocardial infarction diagnosis: a comprehensive review of modern techniques;Multimedia Tools and Applications;2023-10-13

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