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Jia Zhao, Pengyu Zhao, Chunjie Li & Yonghong Hou. (2021) Optimized Machine Learning Models to Predict In-Hospital Mortality for Patients with ST-Segment Elevation Myocardial Infarction. Therapeutics and Clinical Risk Management 17, pages 951-961.
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Weiyao Chen, Xin Tan, Xiaoyu Du, Qin Li, Meng Yuan, Hui Ni, Yuan Wang & Jie Du. (2023) Prediction models for major adverse cardiovascular events following ST-segment elevation myocardial infarction and subgroup-specific performance. Frontiers in Cardiovascular Medicine 10.
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Mariana Oliveira, Joana Seringa, Fausto José Pinto, Roberto Henriques & Teresa Magalhães. (2023) Machine learning prediction of mortality in Acute Myocardial Infarction. BMC Medical Informatics and Decision Making 23:1.
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Sazzli Kasim, Sorayya Malek, Song Cheen, Muhammad Shahreeza Safiruz, Wan Azman Wan Ahmad, Khairul Shafiq Ibrahim, Firdaus Aziz, Kazuaki Negishi & Nurulain Ibrahim. (2022) In-hospital risk stratification algorithm of Asian elderly patients. Scientific Reports 12:1.
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Zuoquan Zhong, Shiming Sun, Jingfan Weng, Hanlin Zhang, Hui Lin, Jing Sun, Miaohong Pan, Hangyuan Guo & Jufang Chi. (2022) Machine learning algorithms identifying the risk of new-onset ACS in patients with type 2 diabetes mellitus: A retrospective cohort study. Frontiers in Public Health 10.
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Manu Kumar Shetty, Shekhar Kunal, M.P. Girish, Arman Qamar, Sameer Arora, Michael Hendrickson, Padhinhare P. Mohanan, Puneet Gupta, S. Ramakrishnan, Rakesh Yadav, Ankit Bansal, Geevar Zachariah, Vishal Batra, Deepak L. Bhatt, Anubha Gupta & Mohit Gupta. (2022) Machine learning based model for risk prediction after ST-Elevation myocardial infarction: Insights from the North India ST elevation myocardial infarction (NORIN-STEMI) registry. International Journal of Cardiology 362, pages 6-13.
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Xingchen Wang, Tianqi Zhu, Minghong Xia, Yu Liu, Yao Wang, Xizhi Wang, Lenan Zhuang, Danfeng Zhong, Jun Zhu, Hong He, Shaoxiang Weng, Junhui Zhu & Dongwu Lai. (2022) Predicting the Prognosis of Patients in the Coronary Care Unit: A Novel Multi-Category Machine Learning Model Using XGBoost. Frontiers in Cardiovascular Medicine 9.
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Sara Chopannejad, Farahnaz Sadoughi, Rafat Bagherzadeh & Sakineh Shekarchi. (2022) Predicting Major Adverse Cardiovascular Events in Acute Coronary Syndrome: A Scoping Review of Machine Learning Approaches. Applied Clinical Informatics 13:03, pages 720-740.
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Adrien Rousset, David Dellamonica, Romuald Menuet, Armando Lira Pineda, Marc S Sabatine, Robert P Giugliano, Paul Trichelair, Mikhail Zaslavskiy & Lea Ricci. (2022) Can machine learning bring cardiovascular risk assessment to the next level? A methodological study using FOURIER trial data. European Heart Journal - Digital Health 3:1, pages 38-48.
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Vida Abedi, Seyed-Mostafa Razavi, Ayesha Khan, Venkatesh Avula, Aparna Tompe, Asma Poursoroush, Alireza Vafaei Sadr, Jiang Li & Ramin Zand. (2021) Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine. Journal of Clinical Medicine 10:23, pages 5710.
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Suhuai Wang, Jingjie Li, Lin Sun, Jianing Cai, Shihui Wang, Linwen Zeng & Shaoqing Sun. (2021) Application of machine learning to predict the occurrence of arrhythmia after acute myocardial infarction. BMC Medical Informatics and Decision Making 21:1.
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Cheng-Sheng Yu, Yu-Da Chen, Shy-Shin Chang, Jui-Hsiang Tang, Jenny L. Wu & Chang-Hsien Lin. (2021) Exploring and predicting mortality among patients with end-stage liver disease without cancer: a machine learning approach. European Journal of Gastroenterology & Hepatology 33:8, pages 1117-1123.
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Zhixun Bai, Jing Lu, Ting Li, Yi Ma, Zhijiang Liu, Ranzun Zhao, Zhenglong Wang & Bei Shi. (2021) Clinical Feature-Based Machine Learning Model for 1-Year Mortality Risk Prediction of ST-Segment Elevation Myocardial Infarction in Patients with Hyperuricemia: A Retrospective Study. Computational and Mathematical Methods in Medicine 2021, pages 1-9.
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Woojoo Lee, Joongyub Lee, Seoung-Il Woo, Seong Huan Choi, Jang-Whan Bae, Seungpil Jung, Myung Ho Jeong & Won Kyung Lee. (2021) Machine learning enhances the performance of short and long-term mortality prediction model in non-ST-segment elevation myocardial infarction. Scientific Reports 11:1.
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Xingchen Wang, Tianqi Zhu, Minghong Xia, Yu Liu, Yao Wang, Xizhi Wang, Lenan Zhuang, Danfeng Zhong, Shaoxiang Weng, Junhui Zhu & Dongwu Lai. (2021) Predicting the Prognosis of Patients in the Coronary Care Unit via Machine Learning Using XGBoost. SSRN Electronic Journal.
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