Evaluation of the Informative Features of Cardiac Studies Diagnostic Data using the Kullback Method

Olga Skitsan, Ievgen Meniailov, Kseniia Bazilevych, Halyna Padalko. Evaluation of the Informative Features of Cardiac Studies Diagnostic Data using the Kullback Method. In Michael Emmerich, Vasyl Lytvyn, Victoria Vysotska, Vítor Basto Fernandes, Volodymyr Lytvynenko, editors, Modern Machine Learning Technologies and Data Science Workshop. Proc. 3rd International Workshop (MoMLeT&DS 2021). Volume I: Main Conference, Lviv-Shatsk, Ukraine, June 5-6, 2021. Volume 2917 of CEUR Workshop Proceedings, pages 186-195, CEUR-WS.org, 2021. [doi]

@inproceedings{SkitsanMBP21,
  title = {Evaluation of the Informative Features of Cardiac Studies Diagnostic Data using the Kullback Method},
  author = {Olga Skitsan and Ievgen Meniailov and Kseniia Bazilevych and Halyna Padalko},
  year = {2021},
  url = {http://ceur-ws.org/Vol-2917/paper17.pdf},
  researchr = {https://researchr.org/publication/SkitsanMBP21},
  cites = {0},
  citedby = {0},
  pages = {186-195},
  booktitle = {Modern Machine Learning Technologies and Data Science Workshop. Proc. 3rd International Workshop (MoMLeT&DS 2021). Volume I: Main Conference, Lviv-Shatsk, Ukraine, June 5-6, 2021},
  editor = {Michael Emmerich and Vasyl Lytvyn and Victoria Vysotska and Vítor Basto Fernandes and Volodymyr Lytvynenko},
  volume = {2917},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}