Paper Info
Title
A Clinical Decision Support Platform for the Risk Stratification, Diagnosis, and Prediction of Coronary Artery Disease Evolution.
Abstract
SMARTool aims to perform accurate risk stratification of coronary artery disease patients as well as to provide early diagnosis and prediction of disease progression. This is achieved by the acquisition of data from about 263 patients including computed tomography angiographic images, clinical, molecular, biohumoral, exposome, inflammatory and omics data. Data are collected in two time points with a followup period of approximately 5 years. In the first step, data mining techniques are implemented for the estimation of risk stratification. In the next step, patients, who are classified as medium to high risk are considered for coronary imaging and computational modelling of blood flow, plaque growth and stenosis severity assessment. Additionally, patients with increased stenosis are selected for stent deployment. All the above modules are integrated in a cloud-based platform for the clinical decision support (CDSS) of patients with coronary artery disease. The work presents preliminary results employing the SMARTool dataset as well as the concept and architecture of the under development platform.
Year
DOI
Venue
2018
10.1109/EMBC.2018.8513131
EMBC
Field
DocType
Volume
Coronary artery disease,Computer vision,Stent,Computer science,Decision support system,Stenosis,Omics,Computed tomography,Artificial intelligence,Clinical decision support system,Radiology,Exposome
Conference
2018
Citations 
PageRank 
References 
0
0.34
0
Authors
15
Name
Order
Citations
PageRank
Antonis Sakellarios13218.83
Panagiotis K Siogkas22010.49
Eleni I. Georga3306.48
Nikolaos S. Tachos401.35
Vassiliki Kigka500.34
Panagiota Tsompou601.01
Ioannis O. Andrikos701.01
Georgia S. Karanasiou847.39
Silvia Rocchiccioli902.37
Joao Correia1000.34
Gualtiero Pelosi1155.47
Paolo Stofella1253.83
Nenad Filipovic135931.21
Oberdan Parodi145313.16
Dimitrios I. Fotiadis15941121.32