Matlab tool for cardiovascular disease risk prediction

Author

Paredes, S. ; Rocha, T. ; de Carvalho, P. ; Henriques, J. ; Morais, J.

Author_Institution

Dept. de Eng. Inf. e de Sist., Inst. Politec. de Coimbra, Coimbra, Portugal

fYear

2013

fDate

18-20 Sept. 2013

Firstpage

190

Lastpage

191

Abstract

Several risk score tools are available in literature to predict the risk of death/myocardial infarction for coronary artery disease (CAD) patients, within a short period of time. However, these tools present some weaknesses. This work describes a Matlab tool implemented to address this problem. The physician can calculate the CVD risk of a patient as well as perform a set of configurations to adjust the parameters of the global model to a specific population. Therefore it can be a valuable framework in the decision support process. This software was validated through the combination of three well known current risk score tools (GRACE, TIMI, PURSUIT) applied to two real patient datasets (Santa Cruz hospital 460 patients; Leiria-Pombal hospital centre 99 patients).

Keywords

biology computing; blood vessels; cardiovascular system; decision support systems; diseases; hospitals; mathematics computing; risk management; CAD patients; CVD risk; GRACE; Leiria-Pombal hospital centre patients; Matlab tool; PURSUIT; Santa Cruz hospital patients; TIMI; cardiovascular disease risk prediction; coronary artery disease patients; death risk; decision support process; myocardial infarction risk; patient datasets; risk score tools; Design automation; Load modeling; Mathematical model; Medical services; Risk management; Software; Solid modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Experiment@ International Conference (exp.at'13), 2013 2nd

Conference_Location

Coimbra

Type

conf

DOI

10.1109/ExpAt.2013.6703067

Filename

6703067