Development of a decision support system for neuro-electrostimulation: Diagnosing disorders of the cardiovascular system and evaluation of the treatment efficiency

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)
Original languageEnglish
Pages (from-to)329-343
Number of pages15
JournalApplied Soft Computing Journal
Volume77
DOIs
Publication statusPublished - 1 Apr 2019

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Cardiovascular system
Decision support systems
Neurology
Feature extraction
Genetic programming
Discriminant analysis
Pathology
Learning systems
Classifiers

Keywords

  • Arterial hypertension
  • Decision support
  • Feature selection
  • Heart rate variability
  • Machine learning
  • HEART-RATE-VARIABILITY
  • HYPERTENSION
  • UP TILT
  • ENTROPY
  • PREDICTION

ASJC Scopus subject areas

  • Software

WoS ResearchAreas Categories

  • Computer Science, Artificial Intelligence
  • Computer Science, Interdisciplinary Applications

Cite this

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title = "Development of a decision support system for neuro-electrostimulation: Diagnosing disorders of the cardiovascular system and evaluation of the treatment efficiency",
keywords = "Arterial hypertension, Decision support, Feature selection, Heart rate variability, Machine learning, HEART-RATE-VARIABILITY, HYPERTENSION, UP TILT, ENTROPY, PREDICTION",
author = "Vladimir Kublanov and Anton Dolganov",
year = "2019",
month = "4",
day = "1",
doi = "10.1016/j.asoc.2019.01.032",
language = "English",
volume = "77",
pages = "329--343",
journal = "Applied Soft Computing Journal",
issn = "1568-4946",
publisher = "Elsevier",

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T1 - Development of a decision support system for neuro-electrostimulation: Diagnosing disorders of the cardiovascular system and evaluation of the treatment efficiency

AU - Kublanov, Vladimir

AU - Dolganov, Anton

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KW - Arterial hypertension

KW - Decision support

KW - Feature selection

KW - Heart rate variability

KW - Machine learning

KW - HEART-RATE-VARIABILITY

KW - HYPERTENSION

KW - UP TILT

KW - ENTROPY

KW - PREDICTION

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DO - 10.1016/j.asoc.2019.01.032

M3 - Article

VL - 77

SP - 329

EP - 343

JO - Applied Soft Computing Journal

JF - Applied Soft Computing Journal

SN - 1568-4946

ER -