Evaluation of the Cardiovascular Risk in Middle-aged Workers: An Artificial Neural Networks-based Approach

Anton Selivanov, Aleksandr Sboev, Svetlana Gorokhova, Viktor Pfaf, Dmitry Gudovkikh, Roman Rybka, Aleksey Serenko, Ivan Moloshnikov. Evaluation of the Cardiovascular Risk in Middle-aged Workers: An Artificial Neural Networks-based Approach. In Michelle Connolly, editor, International Conference on Computational Science 2016, ICCS 2016, 6-8 June 2016, San Diego, California, USA. Volume 80 of Procedia Computer Science, pages 2418-2422, Elsevier, 2016. [doi]

@inproceedings{SelivanovSGPGRS16,
  title = {Evaluation of the Cardiovascular Risk in Middle-aged Workers: An Artificial Neural Networks-based Approach},
  author = {Anton Selivanov and Aleksandr Sboev and Svetlana Gorokhova and Viktor Pfaf and Dmitry Gudovkikh and Roman Rybka and Aleksey Serenko and Ivan Moloshnikov},
  year = {2016},
  doi = {10.1016/j.procs.2016.05.540},
  url = {http://dx.doi.org/10.1016/j.procs.2016.05.540},
  researchr = {https://researchr.org/publication/SelivanovSGPGRS16},
  cites = {0},
  citedby = {0},
  pages = {2418-2422},
  booktitle = {International Conference on Computational Science 2016, ICCS 2016, 6-8 June 2016, San Diego, California, USA},
  editor = {Michelle Connolly},
  volume = {80},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}