| Autor: |
Nikolaos Mittas, Fani Chatzopoulou, Efstratios Karagiannidis, Dimitrios Chatzidimitriou, Georgios Sianos, Lefteris Angelis, Ioannis S. Vizirianakis |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
SoftwareX, Vol 21, Iss , Pp 101310- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2352-7110 |
| DOI: |
10.1016/j.softx.2023.101310 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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