A Clinical Decision Support Platform for the Risk Stratification, Diagnosis, and Prediction of Coronary Artery Disease Evolution

التفاصيل البيبلوغرافية
العنوان: A Clinical Decision Support Platform for the Risk Stratification, Diagnosis, and Prediction of Coronary Artery Disease Evolution
المؤلفون: Sakellarios Antonis, Siogkas Panagiotis, Georga Eleni, Tachos Nikolaos, Kigka Vassiliki, Tsompou Panagiota, Andrikos Ioannis, Karanasiou Georgia, Rocchiccioli Silvia, Correia Joao, Pelosi Gualtiero, Stofella Paolo, Filipovic Nenad, Parodi Oberdan, Fotiadis I. Dimitrios
سنة النشر: 2018
المجموعة: Zenodo
مصطلحات موضوعية: clinical decision support, risk stratification, coronary artery disease, computational modeling
الوصف: SMARTool aims to the accurate risk stratification of coronary artery disease patients as well as to the early diagnosis and prediction of disease progression. This is achieved by the acquisition of data from about 300 patients including computed tomography angiographic images, clinical, molecular, biohumoral, exposome, inflammatory and omics data. Data are collected in two time points with a follow-up 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. ; Pre-final version. For the citation of this conference paper please use the DOI provided of the publisher (IEEE) which is the following one 10.1109/EMBC.2018.8513131.
نوع الوثيقة: conference object
اللغة: unknown
العلاقة: info:eu-repo/grantAgreement/EC/H2020/689068/; https://zenodo.org/record/2553059Test; https://doi.org/10.5281/zenodo.2553059Test; oai:zenodo.org:2553059
DOI: 10.5281/zenodo.2553059
الإتاحة: https://doi.org/10.5281/zenodo.2553059Test
https://doi.org/10.1109/EMBC.2018.8513131Test
https://doi.org/10.5281/zenodo.2553058Test
https://zenodo.org/record/2553059Test
حقوق: info:eu-repo/semantics/openAccess ; https://creativecommons.org/licenses/by/4.0/legalcodeTest
رقم الانضمام: edsbas.6918ECF0
قاعدة البيانات: BASE