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

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.

Keywords

• Coronary artery disease (CAD)
• Personalized (precision) medicine
• Prediction algorithm
• Decision support tool