"A Machine Learning Approach for the Prediction of the Progression of ..."

Vassiliki I. Kigka et al. (2018)

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DOI: 10.1109/EMBC.2018.8513620

access: closed

type: Conference or Workshop Paper

metadata version: 2023-06-26

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Vassiliki I. Kigka, Eleni I. Georga, Antonis I. Sakellarios, Nikolaos S. Tachos, Ioannis O. Andrikos, Panagiota Tsompou, Silvia Rocchiccioli, Gualtiero Pelosi, Oberdan Parodi, Lampros K. Michalis, Dimitrios I. Fotiadis:
A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data. EMBC 2018: 6108-6111

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