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On the possibilities of the discriminant analysis for the arterial hypertension diagnosis: Evaluation of the short-term heart rate variability feature combinations. / Vladimir, Kublanov; Anton, Dolganov; Gamboa, Hugo.
Proceedings - 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 74-79 8071968.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Vladimir, K, Anton, D & Gamboa, H 2017, On the possibilities of the discriminant analysis for the arterial hypertension diagnosis: Evaluation of the short-term heart rate variability feature combinations. in Proceedings - 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017., 8071968, Institute of Electrical and Electronics Engineers Inc., pp. 74-79, 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017, Novosibirsk, Akademgorodok, Russian Federation, 12/04/2017. https://doi.org/10.1109/SSDSE.2017.8071968

APA

Vladimir, K., Anton, D., & Gamboa, H. (2017). On the possibilities of the discriminant analysis for the arterial hypertension diagnosis: Evaluation of the short-term heart rate variability feature combinations. In Proceedings - 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017 (pp. 74-79). [8071968] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSDSE.2017.8071968

Vancouver

Vladimir K, Anton D, Gamboa H. On the possibilities of the discriminant analysis for the arterial hypertension diagnosis: Evaluation of the short-term heart rate variability feature combinations. In Proceedings - 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 74-79. 8071968 doi: 10.1109/SSDSE.2017.8071968

Author

Vladimir, Kublanov ; Anton, Dolganov ; Gamboa, Hugo. / On the possibilities of the discriminant analysis for the arterial hypertension diagnosis: Evaluation of the short-term heart rate variability feature combinations. Proceedings - 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 74-79

BibTeX

@inproceedings{9dca5fd0ae6b4bcba3931b299e278a4e,
title = "On the possibilities of the discriminant analysis for the arterial hypertension diagnosis: Evaluation of the short-term heart rate variability feature combinations",
keywords = "arterial hypertension, heart rate variability, machine learning, python, tilt-test",
author = "Kublanov Vladimir and Dolganov Anton and Hugo Gamboa",
year = "2017",
month = oct,
day = "18",
doi = "10.1109/SSDSE.2017.8071968",
language = "English",
pages = "74--79",
booktitle = "Proceedings - 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017 ; Conference date: 12-04-2017 Through 13-04-2017",

}

RIS

TY - GEN

T1 - On the possibilities of the discriminant analysis for the arterial hypertension diagnosis: Evaluation of the short-term heart rate variability feature combinations

AU - Vladimir, Kublanov

AU - Anton, Dolganov

AU - Gamboa, Hugo

PY - 2017/10/18

Y1 - 2017/10/18

KW - arterial hypertension

KW - heart rate variability

KW - machine learning

KW - python

KW - tilt-test

UR - http://www.scopus.com/inward/record.url?scp=85040321493&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000427247800017

U2 - 10.1109/SSDSE.2017.8071968

DO - 10.1109/SSDSE.2017.8071968

M3 - Conference contribution

AN - SCOPUS:85040321493

SP - 74

EP - 79

BT - Proceedings - 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017

Y2 - 12 April 2017 through 13 April 2017

ER -

ID: 6428822