Predicting the risk factors of coronary tortuosity

Autor:	E. O. Lebedeva, Ye. A. Nastenko, A. O. Matviychuk
Rok vydání:	2013
Předmět:	Coronary arteries medicine.anatomical_structure Risk groups General Computer Science business.industry Statistics medicine Arterial Tortuosity business Linear discriminant analysis Logistic regression Tortuosity
Zdroj:	Cybernetics and Systems Analysis. 49:720-726
ISSN:	1573-8337 1060-0396
DOI:	10.1007/s10559-013-9559-3
Popis:	The risk factors of coronary tortuosity are identified using binary logistic regression and discriminant analysis methods. The qualities of the obtained models are compared. The results of the analysis of the factors can be used to identify risk groups and to develop preventive and therapeutic interventions in these groups of patients.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::87023ed32f72da340e01dc6fcf28a5a5 https://doi.org/10.1007/s10559-013-9559-3 Zobrazit plný text záznamu Full text from SpringerLink