A novel machine learning model with Stacking Ensemble Learner for predicting emergency readmission of heart-disease patients
Tài liệu tham khảo
Cho, 2019, Machine learning-based predictive model for acute myocardial infarction using electronic health records, Int. J. Med. Inform., 128, 47
Saba, 2020, The role of machine learning in cardiac imaging, including structure, function, and electrophysiology, IEEE Trans. Biomed. Eng., 67, 2664
Yasin, 2017, Ultra-low power, secure IoT platform for predicting cardiovascular diseases, IEEE Trans. Circuits Syst. I. Regul. Pap., 64, 2624, 10.1109/TCSI.2017.2694968
Guo, 2020, A machine learning-based model for predicting cardiovascular disease risk, IEEE Trans. NanoBiosci., 19, 250
Lin, 2020, Deep learning models for predicting 30-day readmission in patients with heart failure, J. Med. Syst., 44, 176
Shao, 2020, Machine learning models for predicting cardiovascular events in patients with hypertension, J. Med. Syst., 44, 92
Wang, 2021, Machine learning-based prediction models for cardiovascular diseases using health examination data, J. Med. Syst., 45, 1
Zhao, 2020, A machine learning-based model for predicting acute myocardial infarction, Int. J. Med. Inform., 141
Zhou, 2020, A novel machine learning-based model for predicting all-cause mortality in patients with acute myocardial infarction, Int. J. Med. Inform., 143
Zhu, 2021, Machine learning-based prediction models for the development of heart failure in patients with hypertension, J. Med. Syst., 45, 1
Zuo, 2021, Machine learning models for predicting clinical outcomes in patients with coronary artery disease: A systematic review, Int. J. Med. Inform., 146
Tao, 2018, Magnetocardiography-based ischemic heart disease detection and localization using machine learning methods, IEEE Trans. Biomed. Eng., 66, 1658, 10.1109/TBME.2018.2877649
Asif, 2020, Heart disease prediction using ensemble learning and feature selection techniques, Healthc. Inform. Res., 26, 279
Chang, 2018, Ensemble machine learning for cardiovascular disease prediction, Comput. Biol. Med., 96, 120
Deepika, 2019, Ensemble learning techniques for cardiovascular disease prediction, Procedia Comput. Sci., 165, 14
El-Sappagh, 2019, Ensemble of machine learning algorithms for heart disease diagnosis, J. Med. Syst., 43, 1
Jia, 2020, Machine learning models for predicting cardiovascular disease in Chinese patients, J. Med. Syst., 44, 1
Zhang, 2020, Hospitalized patients with heart failure: integrating electronic healthcare records and external outcome data (version 1.1), PhysioNet
Goldberger, 2000, PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals, Circulation [Online], 101, e215
Hass, 2020, Business applications for current developments in big data clustering: an overview, 195
Vajar, 2021, The internet of medical things (IoMT): A vision on learning, privacy, and computing, 1
Shirazi, 2020, Deep learning in the healthcare industry: theory and applications, 220