A computational algorithm for the risk assessment of developing acute coronary syndromes, using online analytical process methodology
@article{Kostakis2009ACA, title={A computational algorithm for the risk assessment of developing acute coronary syndromes, using online analytical process methodology}, author={Hara Kostakis and Basilis Boutsinas and Demosthenes B. Panagiotakos and Leo D. Kounis}, journal={Int. J. Knowl. Eng. Soft Data Paradigms}, year={2009}, volume={1}, pages={85-99} }
This paper investigates patterns in cardiovascular risk factors from a large population sample of cardiac patients and their matched controls. Various factors were taken into consideration and were used as inputs to effectively demonstrate online analytical process, OLAP methodology. OLAP is a new method that is used to explore the role of several risk factors in cardiovascular disease risk assessment. It equally serves as a means to extract knowledge from the investigated factors' levels. This…
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References
SHOWING 1-10 OF 29 REFERENCES
Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project.
- MedicineEuropean heart journal
- 2003
Risk stratification of coronary heart disease in Greece: final results from the CARDIO2000 Epidemiological Study.
- MedicinePreventive medicine
- 2002
Several emerging lifestyle risk factors (education, depression, diet, passive smoking), in addition to the conventional ones, may contribute to the risk of coronary events in this population of patients.
A neural network approach to coronary heart disease risk assessment based on short-term measurement of RR intervals
- Computer ScienceComputers in Cardiology 1997
- 1997
This study showed that an ANN approach can be successful in detecting individuals at varying risk of CHD based on short-term HRV measurements under controlled breathing.
Data mining techniques applied to medical information
- Computer Science, MedicineMedical informatics and the Internet in medicine
- 2000
These data mining tools provide simple and effective methods of extracting knowledge from general medical information that can satisfy general users in extracting specific knowledge to make the medical information system more functional.
A general cardiovascular risk profile: the Framingham Study.
- MedicineThe American journal of cardiology
- 1976
Active subgroup mining: a case study in coronary heart disease risk group detection
- MedicineArtif. Intell. Medicine
- 2003
A classification of unstable angina revisited.
- Medicine, BiologyCirculation
- 2000
Initial results suggest that troponins may function as surrogate markers for thrombus formation and can effectively guide therapy with glycoprotein IIb/IIIa antagonists or low-molecular-weight heparins.
Established and emerging cardiovascular risk factors.
- MedicineAmerican heart journal
- 2001
Patients with established CHD and individuals at high multifactorial risk of developing CHD, the same lifestyle and risk factor goals have been set, and the appropriate use of prophylactic drug therapies is recommended.
Psychosocial Risk Factors for Coronary Heart Disease, Their Importance Compared with Other Risk Factors and Gender Differences in Sensitivity
- Psychology, MedicineJournal of cardiovascular risk
- 2001
Women appear to be more sensitive than men with respect to psychosocial risk factors for CHD containing work content, workload and control, physical and emotional stress reactions and burnout, and the predictive ability of psychossocial risk factors shows great importance.
A new neural network structure for detection of coronary heart disease
- Computer ScienceNeural Computing & Applications
- 2005
A Neural Network is used on data from a self- applied questionnaire to implement a decision system designed to seek out high risk individuals in a large population and the system's capability for detecting both the symptomatic and asymptomatic patient is demonstrated.