Nataliia Melnykova, Roman Kulievych, Yaroslav Vycluk, Kateryna Melnykova, Volodymyr Melnykov. Anomalies Detecting in Medical Metrics Using Machine Learning Tools. In Nuno Varandas, Ansar-Ul-Haque Yasar, Haroon Malik, Stéphane Galland, editors, The 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2021) / The 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2021), Leuven, Belgium, November 1-4, 2021. Volume 198 of Procedia Computer Science, pages 718-723, Elsevier, 2021. [doi]
@inproceedings{MelnykovaKVMM21,
title = {Anomalies Detecting in Medical Metrics Using Machine Learning Tools},
author = {Nataliia Melnykova and Roman Kulievych and Yaroslav Vycluk and Kateryna Melnykova and Volodymyr Melnykov},
year = {2021},
doi = {10.1016/j.procs.2021.12.312},
url = {https://doi.org/10.1016/j.procs.2021.12.312},
researchr = {https://researchr.org/publication/MelnykovaKVMM21},
cites = {0},
citedby = {0},
pages = {718-723},
booktitle = {The 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2021) / The 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2021), Leuven, Belgium, November 1-4, 2021},
editor = {Nuno Varandas and Ansar-Ul-Haque Yasar and Haroon Malik and Stéphane Galland},
volume = {198},
series = {Procedia Computer Science},
publisher = {Elsevier},
}