TY - JOUR AU - Budzianowski, J. AU - Pieszko, K. AU - Burchardt, P. AU - Rzeźniczak, J. AU - Hiczkiewicz, J. PY - 2017 DA - 2017// TI - The role of hematological indices in patients with acute coronary syndrome JO - Dis Markers UR - https://doi.org/10.1155/2017/3041565 DO - 10.1155/2017/3041565 ID - Budzianowski2017 ER - TY - JOUR AU - Tamhane, U. U. AU - Aneja, S. AU - Montgomery, D. AU - Rogers, E. -. K. AU - Eagle, K. A. AU - Gurm, H. S. PY - 2008 DA - 2008// TI - Association between admission neutrophil to lymphocyte ratio and outcomes in patients with acute coronary syndrome JO - Am J Cardiol. Elsevier. VL - 102 UR - https://doi.org/10.1016/j.amjcard.2008.05.006 DO - 10.1016/j.amjcard.2008.05.006 ID - Tamhane2008 ER - TY - JOUR AU - He, J. AU - Li, J. AU - Wang, Y. AU - Hao, P. AU - Hua, Q. PY - 2014 DA - 2014// TI - Neutrophil-to-lymphocyte ratio (NLR) predicts mortality and adverse-outcomes after ST-segment elevation myocardial infarction in Chinese people JO - Int J Clin Exp Pathol VL - 7 ID - He2014 ER - TY - JOUR AU - Chatterjee, S. AU - Chandra, P. AU - Guha, G. AU - Kalra, V. AU - Chakraborty, A. AU - Frankel, R. PY - 2011 DA - 2011// TI - Pre-procedural elevated white blood cell count and neutrophil-lymphocyte (N/L) ratio are predictors of ventricular arrhythmias during percutaneous coronary intervention JO - Cardiovasc Hematol Disord Drug Targets VL - 11 UR - https://doi.org/10.2174/187152911798346981 DO - 10.2174/187152911798346981 ID - Chatterjee2011 ER - TY - JOUR AU - Timóteo, A. T. AU - Papoila, A. L. AU - Lousinha, A. AU - Alves, M. AU - Miranda, F. AU - Ferreira, M. L. PY - 2015 DA - 2015// TI - Predictive impact on mediumterm mortality of hematological parameters in Acute Coronary Syndromes: added value on top of GRACE risk score JO - Eur Hear J Acute Cardiovasc Care. VL - 4 UR - https://doi.org/10.1177/2048872614547690 DO - 10.1177/2048872614547690 ID - Timóteo2015 ER - TY - JOUR AU - Acet, H. AU - Ertaş, F. AU - Akıl, M. A. AU - Özyurtlu, F. AU - Polat, N. AU - Bilik, M. Z. PY - 2016 DA - 2016// TI - Relationship between hematologic indices and global registry of acute coronary events risk score in patients with ST-segment elevation myocardial infarction JO - Clin Appl Thromb. VL - 22 UR - https://doi.org/10.1177/1076029614533145 DO - 10.1177/1076029614533145 ID - Acet2016 ER - TY - JOUR AU - Kurtul, A. AU - Murat, S. N. AU - Yarlioglues, M. AU - Duran, M. AU - Ergun, G. AU - Acikgoz, S. K. PY - 2014 DA - 2014// TI - Association of platelet-to-lymphocyte ratio with severity and complexity of coronary artery disease in patients with acute coronary syndromes JO - Am J Cardiol VL - 114 UR - https://doi.org/10.1016/j.amjcard.2014.07.005 DO - 10.1016/j.amjcard.2014.07.005 ID - Kurtul2014 ER - TY - JOUR AU - Wan, Z. -. F. AU - Zhou, D. AU - Xue, J. -. H. AU - Wu, Y. AU - Wang, H. AU - Zhao, Y. PY - 2014 DA - 2014// TI - Combination of mean platelet volume and the GRACE risk score better predicts future cardiovascular events in patients with acute coronary syndrome JO - Platelets VL - 25 UR - https://doi.org/10.3109/09537104.2013.830708 DO - 10.3109/09537104.2013.830708 ID - Wan2014 ER - TY - JOUR AU - Niu, X. AU - Yang, C. AU - Zhang, Y. AU - Zhang, H. AU - Yao, Y. PY - 2015 DA - 2015// TI - Mean platelet volume on admission improves risk prediction in patients with acute coronary syndromes JO - Angiology VL - 66 UR - https://doi.org/10.1177/0003319714536024 DO - 10.1177/0003319714536024 ID - Niu2015 ER - TY - JOUR AU - Beam, A. L. AU - Kohane, I. S. PY - 2018 DA - 2018// TI - Big data and machine learning in health care JO - JAMA VL - 319 UR - https://doi.org/10.1001/jama.2017.18391 DO - 10.1001/jama.2017.18391 ID - Beam2018 ER - TY - JOUR AU - Roffi, M. AU - Patrono, C. AU - Collet, J. -. P. AU - Mueller, C. AU - Valgimigli, M. AU - Andreotti, F. PY - 2016 DA - 2016// TI - 2015 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation JO - Eur Heart J VL - 37 UR - https://doi.org/10.1093/eurheartj/ehv320 DO - 10.1093/eurheartj/ehv320 ID - Roffi2016 ER - TY - JOUR AU - Hu, D. AU - Huang, Z. AU - Chan, T. -. M. AU - Dong, W. AU - Lu, X. AU - Duan, H. PY - 2016 DA - 2016// TI - Utilizing Chinese admission records for MACE prediction of acute coronary syndrome JO - Int J Environ Res Public Health UR - https://doi.org/10.3390/ijerph13090912 DO - 10.3390/ijerph13090912 ID - Hu2016 ER - TY - STD TI - Chen T, Guestrin C. XGBoost: a scalable tree boosting system. 2016; https://doi.org/10.1145/2939672.2939785. ID - ref13 ER - TY - JOUR AU - Błaszczyński, J. AU - Stefanowski, J. PY - 2015 DA - 2015// TI - Neighbourhood sampling in bagging for imbalanced data JO - Neurocomputing. VL - 150 UR - https://doi.org/10.1016/j.neucom.2014.07.064 DO - 10.1016/j.neucom.2014.07.064 ID - Błaszczyński2015 ER - TY - JOUR AU - Saleh, E. AU - Błaszczyński, J. AU - Moreno, A. AU - Valls, A. AU - Romero-Aroca, P. AU - Riva-Fernández, S. PY - 2018 DA - 2018// TI - Learning ensemble classifiers for diabetic retinopathy assessment JO - Artif Intell Med VL - 85 UR - https://doi.org/10.1016/j.artmed.2017.09.006 DO - 10.1016/j.artmed.2017.09.006 ID - Saleh2018 ER - TY - JOUR AU - Błaszczyński, J. AU - Słowiński, R. AU - Szelg, M. PY - 2011 DA - 2011// TI - Sequential covering rule induction algorithm for variable consistency rough set approaches JO - Inf Sci (Ny). VL - 181 UR - https://doi.org/10.1016/j.ins.2010.10.030 DO - 10.1016/j.ins.2010.10.030 ID - Błaszczyński2011 ER - TY - CHAP AU - Błaszczyński, J. AU - Słowiński, R. AU - Szeląg, M. ED - Yao, J. ED - Yang, Y. ED - Słowiński, R. ED - Greco, S. ED - Li, H. ED - Mitra, S. PY - 2012 DA - 2012// TI - Induction of ordinal classification rules from incomplete data BT - International conference on rough sets and current trends in computing PB - Springer CY - Berlin, Heidelberg UR - https://doi.org/10.1007/978-3-642-32115-3_6 DO - 10.1007/978-3-642-32115-3_6 ID - Błaszczyński2012 ER - TY - CHAP AU - Błaszczyński, J. e. r. z. y. AU - Słowiński, R. o. m. a. n. AU - Susmaga, R. o. b. e. r. t. PY - 2011 DA - 2011// TI - Rule-Based Estimation of Attribute Relevance BT - Rough Sets and Knowledge Technology PB - Springer Berlin Heidelberg CY - Berlin, Heidelberg UR - https://doi.org/10.1007/978-3-642-24425-4_7 DO - 10.1007/978-3-642-24425-4_7 ID - Błaszczyński2011 ER - TY - JOUR AU - Błaszczyński, J. AU - Greco, S. AU - Słowiński, R. PY - 2012 DA - 2012// TI - Inductive discovery of laws using monotonic rules JO - Eng Appl Artif Intell VL - 25 UR - https://doi.org/10.1016/j.engappai.2011.09.003 DO - 10.1016/j.engappai.2011.09.003 ID - Błaszczyński2012 ER - TY - JOUR AU - Pedregosa, F. AU - Varoquaux, G. AU - Gramfort, A. AU - Michel, V. AU - Thirion, B. AU - Grisel, O. PY - 2011 DA - 2011// TI - Scikit-learn: machine learning in python JO - J Mach Learn Res. VL - 12 ID - Pedregosa2011 ER - TY - CHAP AU - Błaszczyński, J. AU - Greco, S. AU - Matarazzo, B. AU - Słowiński, R. AU - Szela̧g, M. ED - Skowron, A. ED - Suraj, Z. PY - 2013 DA - 2013// TI - jMAF—dominance-based rough set data analysis framework BT - Rough sets intelligent systtem-professor Zdzisław Pawlak Memoriam PB - Springer CY - Berlin UR - https://doi.org/10.1007/978-3-642-30344-9_5 DO - 10.1007/978-3-642-30344-9_5 ID - Błaszczyński2013 ER - TY - JOUR AU - Hunter, J. D. PY - 2007 DA - 2007// TI - Matplotlib: a 2D graphics environment JO - Comput Sci Eng. VL - 9 UR - https://doi.org/10.1109/MCSE.2007.55 DO - 10.1109/MCSE.2007.55 ID - Hunter2007 ER - TY - CHAP AU - Chawla, N. V. ED - Maimon, O. ED - Rokach, L. PY - 2005 DA - 2005// TI - Data mining for imbalanced datasets: an overview BT - Data mining knowledge discovery handbook PB - Springer CY - Boston UR - https://doi.org/10.1007/0-387-25465-X_40 DO - 10.1007/0-387-25465-X_40 ID - Chawla2005 ER - TY - CHAP AU - Stefanowski, J. ED - Ramanna, S. ED - Jain, L. C. ED - Howlett, R. J. PY - 2013 DA - 2013// TI - Overlapping, rare examples and class decomposition in learning classifiers from imbalanced data BT - Emerging paradigms machhine learning PB - Springer CY - Berlin UR - https://doi.org/10.1007/978-3-642-28699-5_11 DO - 10.1007/978-3-642-28699-5_11 ID - Stefanowski2013 ER - TY - JOUR AU - Wang, B. X. AU - Japkowicz, N. PY - 2010 DA - 2010// TI - Boosting support vector machines for imbalanced data sets JO - Knowl Inf Syst VL - 25 UR - https://doi.org/10.1007/s10115-009-0198-y DO - 10.1007/s10115-009-0198-y ID - Wang2010 ER - TY - JOUR AU - Kubat, M. AU - Matwin, S. PY - 1997 DA - 1997// TI - Addressing the curse of imbalanced training sets: one sided selection JO - ICML VL - 97 ID - Kubat1997 ER - TY - JOUR AU - Uyarel, H. AU - Ergelen, M. AU - Cicek, G. AU - Kaya, M. G. AU - Ayhan, E. AU - Turkkan, C. PY - 2011 DA - 2011// TI - Red cell distribution width as a novel prognostic marker in patients undergoing primary angioplasty for acute myocardial infarction JO - Coron Artery Dis VL - 22 UR - https://doi.org/10.1097/MCA.0b013e328342c77b DO - 10.1097/MCA.0b013e328342c77b ID - Uyarel2011 ER - TY - STD TI - VanHouten JP, Starmer JM, Lorenzi NM, Maron DJ, Lasko TA. Machine learning for risk prediction of acute coronary syndrome. In: AMIA annual symposium proceedings AMIA Symposium. American Medical Informatics Association; 2014;2014:1940–9. ID - ref28 ER - TY - JOUR AU - Wallert, J. AU - Tomasoni, M. AU - Madison, G. AU - Held, C. PY - 2017 DA - 2017// TI - Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data JO - BMC Med Inform Decis Mak VL - 17 UR - https://doi.org/10.1186/s12911-017-0500-y DO - 10.1186/s12911-017-0500-y ID - Wallert2017 ER - TY - JOUR AU - Fonarow, G. C. AU - Adams, K. F. AU - Abraham, W. T. AU - Yancy, C. W. AU - WJ, B. o. s. c. a. r. d. i. n. PY - 2005 DA - 2005// TI - Risk stratification for in-hospital mortality in acutely decompensated heart failure—classification and regression tree analysis JO - JAMA VL - 293 UR - https://doi.org/10.1001/jama.293.5.572 DO - 10.1001/jama.293.5.572 ID - Fonarow2005 ER -