Veröffentlichungen

Papoutsakis M. et al., 2021. Towards a Collection of Security and Privacy Patterns. Applied Sciences. 2021; 11(4):1396, DOI: 10.3390/app11041396

Manos P. et al., 2021. “Defining IoT Orchestrations with Security and Privacy by Design: A Gap Analysis,” in IEEE Internet of Things Magazine, vol. 4, no. 2, pp. 80-87, June 2021, DOI: 10.1109/IOTM.0001.2000162

Hatzivasilis G. et al., 2021. The Green Blockchains of Circular Economy. Electronics. 2021; 10(16):2008, DOI: 10.3390/electronics10162008

Smyrlis M. et al., 2021. Teaching Users New IoT Tricks: A Model-driven Cyber Range for IoT Security Training, IEEE Internet of Things (IoT) Magazine, March, 2021

Lampropoulos K. et al., 2021. ASCAPE: An open AI ecosystem to support the quality of life of cancer patients, 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 2021, pp. 301-310, DOI: 10.1109/ICHI52183.2021.00054

Danilatou V. et al., 2021. Diffuse intravascular coagulation (DIC) and sepsis induced coagulopathy (SIC): differences and similarities in diagnostic and therapeutic approach in clinical practice. Proceeding of 32nd Congress of the Hellenic Society of Haematology, November 11-14 2021, Athens

Danilatou V. et al., 2021. Prognosis of early and late mortality in critically-ill patients with cancer using big-data and machine learning algorithms. 27th Hellenic Congress of Clinical Oncology, Athens 2021

Danilatou V. et al., 2021. External validation of a machine learning model that predicts in-hospital mortality of patients that are hospitalized in intensive care units with thrombosis: Results from two large medical databases. 32nd Congress of the Hellenic Society of Haematology, November 11-14, 2021, Athens

Danilatou V. et al., 2021. Automated machine learning algorithms in prediction of intensive care unit readmission of patients with thrombosis. 32nd Congress of the Hellenic Society of Haematology, November 11-14, 2021, Athens

V. Bellandi et al., 2021. Engineering Continuous Monitoring of Intrinsic Capacity for Elderly People, 2021 IEEE International Conference on Digital Health (ICDH), 2021, pp. 166-171, doi:10.1109/ICDH52753.2021.00030