https://orcid.org/0000-0001-7530-7988
References
- Rasoul S, Ottervanger JP, de Boer MJ, et al. Predictors of 30-day and 1-year mortality after primary percutaneous coronary intervention for ST-elevation myocardial infarction. Coron Artery Dis. 2009;20(6):415–421. doi:10.1097/MCA.0b013e32832e5c4c
- Kennedy HL, Goldberg RJ, Szklo M, Tonascia JA. The prognosis of anterior myocardial infarction revisited: a community-wide study. Clin Cardiol. 1979;2(6):455–460. doi:10.1002/clc.v2:6
- Morrow DA, Antman EM, Charlesworth A, et al. TIMI risk score for ST-elevation myocardial infarction: A convenient, bedside, clinical score for risk assessment at presentation: an intravenous nPA for treatment of infarcting myocardium early II trial substudy. Circulation. 2000;102(17):2031–2037. doi:10.1161/01.CIR.102.17.2031
- Fox KA, Dabbous OH, Goldberg RJ, et al. Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome: prospective multinational observational study (GRACE). BMJ. 2006;333(7578):1091. doi:10.1136/bmj.38985.646481.55
- Ibanez B, James S, Agewall S, et al. 2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: the Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC). Eur Heart J. 2017;39(2):119–177.
- Kotsiantis SB. Supervised machine learning: a review of classification techniques. Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies; Beijing, China: Jul 22-27, 2007. doi:10.1094/PDIS-91-4-0467B
- Stekhoven DJ, Bühlmann P. MissForest—non-parametric missing value imputation for mixed-type data. Bioinformatics. 2011;28(1):112–118. doi:10.1093/bioinformatics/btr597
- Shouval R, Hadanny A, Shlomo N, et al. Machine learning for prediction of 30-day mortality after ST elevation myocardial infraction: an Acute Coronary Syndrome Israeli Survey data mining study. Int J Cardiol. 2017;246:7–13. doi:10.1016/j.ijcard.2017.05.067
- Li X, Liu H, Yang J, Xie G, Xu M, Yang Y. Using machine learning models to predict in-hospital mortality for ST-elevation myocardial infarction patients. Stud Health Technol Inform. 2017;245:476–480.
- Chen T, Guestrin C. XGBoost. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD ‘16; San Francisco, CA: Aug 13-17, 2016.
- Polano M, Chierici M, Dal BM, et al. A pan-cancer approach to predict responsiveness to immune checkpoint inhibitors by machine learning. Cancers (Basel). 2019;11(10). doi:10.3390/cancers11101562
- Chen T, Li X, Li Y, et al. Prediction and risk stratification of kidney outcomes in IgA nephropathy. Am J Kidney Dis. 2019;74(3):300–309. doi:10.1053/j.ajkd.2019.02.016