Publications

I. Kotsiuba, A. Velykzhanin, Yu. Yanovich, I. Skarga-Bandurova, Yu. Dyachenko, V. Zhygulin. Decentralized e-Health Architecture for Boosting Healthcare Analytics. 2018 Second World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), London, UK, 30 – 31 October, 2018. pp. 113-118.

I. Kotsiuba, M. Nesterov, Yu. Yanovich, I. Skarga-Bandurova, T. Biloborodova, V. Zhygulin. Multi-Database Monitoring Tool for the E-Health Services. 2018 IEEE International Conference on Big Data, December 10-13, 2018, Seattle, WA, USA, pp. 2442-2448.

I. Skarga-Bandurova, T. Biloborodova, Devices with Reconfigurable Architecture for Biomedical IoT-based Applications in Internet of Things for Industry and Human Applications. Volume 3. Assessment and Implementation. IoT for Healthcare systems. Section 47. / Ed. V. S. Kharchenko. – Ministry of Education and Science of Ukraine, National Aerospace University KhAI, 2018, pp. 576-596.

I. Skarga-Bandurova, T. Biloborodova, Wearable and Embedded IoT-based Solutions for Biomedical Applications in Internet of Things for Industry and Human Applications.Volume 3. Assessment and Implementation. IoT for Healthcare systems.Section 46. / Ed. V. S. Kharchenko. – Ministry of Education and Science of Ukraine, National Aerospace University KhAI,2018, pp. 535-575.

I. Skarga-Bandurova, T. Biloborodova, and Y. Dyachenko Strategy to Managing Mixed Datasets with Missing Items, In: J. Medina et al. (eds.) Information Processing and Management of Uncertainty in Knowledge-Based Systems – Theory and Foundations. IPMU 2018, Communications in Computer and Information Science, vol. 854. pp. 608–620, 2018. Springer, Cham.

M. Nesterov and I. Skarga-Bandurova Troubleshooting and Performance Methodology for Business Critical Systems, In: 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT’2018) р. 551-555.

I. Skarga-Bandurova, T. Biloborodova, and M. Nesterov Discovering Interesting Associations in Gestation Course Data, Progress in Artificial Intelligence. EPIA 2017. Oliveira E. et al. (Eds): Lecture Notes in Computer Science. – 2017. – vol 10423. – pp. 204-214. Springer, Cham.

T. Biloborodova and I. Skarga-Bandurova Approaches for Classification of Imbalanced and Skewed Datasets, Herald of East Ukrainian National University. – Severodonetsk: EUNU. – No. 8 (238), pages 17-24, 2017.

I. Skarga-Bandurova and T. Biloborodova Exploratory Data Analysis to Identifying Meaningful Factors of Hypoxic Fetal Injuries Herald of the National Technical University “KhPI”. Subject issue: Information Science and Modelling. – Kharkov: NTU “KhPI”. – No. 44 (1216), pages 122-135, 2016.

I. Skarga-Bandurova and T. Biloborodova, Data Analysis for Prognostication in Cerebral Status of Newborns Herald of the National Technical University “KhPI”. Subject issue: Information Science and Modelling. – No. 33 (1142), pages 134-143, 2015.

I. Skarga-Bandurova, T. Biloborodova, and M. Nesterov, Modeling Structures for Integrated Obstetrics, Gynecology, and Neonatal Information System, Journal of Problems of Information Technologies. – No. 17, pages 51-57, 2015.

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