TY - GEN
T1 - Early diagnosis of acute myocardial infarction using kernel methods
AU - Osl, Melanie
AU - Dreiseitl, Stephan
PY - 2011
Y1 - 2011
N2 - Acute myocardial infarction is one of the most common cardiovascular diseases in the Western world. Fortunately, not all myocardial infarctions are fatal. By early diagnosis of acute myocardial infarction based on symptoms at a patient's presentation in the emergency department, the number of deaths may be further reduced, as life-saving actions can be taken sooner. In this paper, we investigate the application of kernel-based methods to this problem, i.e. we evaluate the performance of support vector machines and kernel logistic regression models and compare these two methods to logistic regression models in terms of discrimination and calibration. The results show that kernel-based methods have higher discriminatory power for early diagnosis of acute myocardial infarction than logistic regression models and that kernel logistic regression models have superior calibration in comparison to logistic regression models and support vector machines.
AB - Acute myocardial infarction is one of the most common cardiovascular diseases in the Western world. Fortunately, not all myocardial infarctions are fatal. By early diagnosis of acute myocardial infarction based on symptoms at a patient's presentation in the emergency department, the number of deaths may be further reduced, as life-saving actions can be taken sooner. In this paper, we investigate the application of kernel-based methods to this problem, i.e. we evaluate the performance of support vector machines and kernel logistic regression models and compare these two methods to logistic regression models in terms of discrimination and calibration. The results show that kernel-based methods have higher discriminatory power for early diagnosis of acute myocardial infarction than logistic regression models and that kernel logistic regression models have superior calibration in comparison to logistic regression models and support vector machines.
KW - Acute myocardial infarction
KW - Calibration
KW - Kernel logistic regression
KW - Kernel-based methods
KW - Logistic regression
KW - Support vector machine
UR - http://www.scopus.com/inward/record.url?scp=79958104695&partnerID=8YFLogxK
U2 - 10.2316/P.2011.723-072
DO - 10.2316/P.2011.723-072
M3 - Conference contribution
SN - 9780889868663
T3 - Proceedings of the 8th IASTED International Conference on Biomedical Engineering, Biomed 2011
SP - 175
EP - 180
BT - Proceedings of the 8th IASTED International Conference on Biomedical Engineering, Biomed 2011
T2 - 8th IASTED International Conference on Biomedical Engineering
Y2 - 16 February 2011 through 18 February 2011
ER -
