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CRISSPAC: A web-based platform for predicting the SYNTAX Score and severity of coronary artery disease

Authors :
Nikolaos Mittas
Fani Chatzopoulou
Efstratios Karagiannidis
Dimitrios Chatzidimitriou
Georgios Sianos
Lefteris Angelis
Ioannis S. Vizirianakis
Source :
SoftwareX, Vol 21, Iss , Pp 101310- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

CRISSPAC is an open-source web-based platform for the prediction of the Syntax Score and the severity of coronary artery disease (CAD) providing a variety of data analytics and machine learning solutions presented via an-easy-to-use graphical interface environment. The aim of the software is two-fold: (1) to facilitate both retrospective and prospective objectives dedicated to the diagnosis of the complexity of CAD; (2) to support open science principles through the public availability of the source code. Our envision is to promote software extensibility and utilization towards accurate diagnosis, decision-making processes and personalized patient management and counseling activities.

Details

Language :
English
ISSN :
23527110
Volume :
21
Issue :
101310-
Database :
Directory of Open Access Journals
Journal :
SoftwareX
Publication Type :
Academic Journal
Accession number :
edsdoj.62b83b06e5be4ad7bdadc7bb9140d3c7
Document Type :
article
Full Text :
https://doi.org/10.1016/j.softx.2023.101310