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Publications

Have a look at the project's publications and software

1. MITTAS N., CHATZOPOULOU F., KARAGIANNIDIS E., CHATZIDIMITRIOU D., SIANOS G., ANGELIS L., VIZIRIANAKIS I.S. (2023). CRISSPAC: A web-based platform for predicting the SYNTAX Score and severity of coronary artery disease. SoftwareX, 21,101310. https://doi.org/10.1016/j.softx.2023.101310 (IF: 2,868).

2. GANOPOULOU M., MOYSIADIS T., GOUNARIS A., MITTASN., CHATZOPOULOU F., CHATZIDIMITRIOU D., SIANOS G., VIZIRIANAKIS I.S., ANGELIS L. (2023). Single Nucleotide Polymorphisms’ Causal Structure Robustness within Coronary Artery Disease Patients. Biology, 12(5):709. https://doi.org/10.3390/biology12050709 (IF: 5,168).
1. MITTAS N., CHATZOPOULOU F., KYRITSIS K., PAPAGIANNOPOULOS C., THEODOROULA N., PAPAZOGLOU A., KARAGIANNIDIS E., SOFIDIS G., MOYSIDIS D., STALIKAS N., PAPA A., CHATZIDIMITRIOU D., SIANOS G., ANGELIS L., VIZIRIANAKIS I. (2022).  A Risk-Stratification Machine Learning Framework for the Prediction of Coronary Artery Disease Severity: Insights from the GESS Trial. Frontiers in cardiovascular medicine, 8, 812182 (IF: 5.846).

2. CHATZOPOULOU F., KYRITSIS K., PAPAGIANNOPOULOS C., GALATOU C., MITTAS N., THEODOROULA N., PAPAZOGLOU A., KARAGIANNIDIS E., CHATZIDIMITRIOU M., PAPA A., SIANOS G., ANGELIS L., CHATZIDIMITRIOU D., VIZIRIANAKIS I. (2022). Dissecting miRNA–Gene Networks to Map Clinical Utility Roads of Pharmacogenomics-Guided Therapeutic Decisions in Cardiovascular Precision Medicine. Cells, 11(4), 607 (MDPI) (IF: 7.666).
1. VIZIRIANAKIS I., CHATZOPOULOY F., PAPAZOGLOU A., KARAGIANNIDIS E., SOFIDIS G., STALIKAS N., STEFOPOULOS C., KYRITSIS K., MITTAS N., THEODOROULA N., LAMPRI A., MEZARLI E., KARTAS A., CHATZIDIMITRIOU D., PAPPA-KONIDARI A., ANGELIS L., KARVOUNIS H., SIANOS G. (2021). The GEnetic Syntax Score: A Genetic Risk Assessment Implementation Tool Grading the Complexity of Coronary Artery Disease. Rationale and Design of the GESS Study. BMC Cardiovascular Disorders, 21(1), 1-9 (IF: 2.174)
Open-source Web-based Platform CRISSPAC: Coronary artery disease RIsk-stratification Syntax Score Predictive Algorithm Calculator. 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 development of CRISSPAC is based on a data-driven framework proposed by Mittas et al. (2021) (Github repository: https://github.com/nikomitt/CRISSPAC, Webpage: http://crisspac.pharm.auth.gr:3838/crisspac )
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