Hybrid Model based on Support Vector Machine and Principal Component Analysis Applied to Arterial Hypertension Detection

Antony B. Almonacid, Ciro Rodriguez, Yuri Pomachagua, DIego Rodriguez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This research aims to reduce the detection time of the risk of suffering from arterial hypertension by implementing a hybrid model based on the Support Vector Machine (SVM) and Principal Component Analysis (PCA) algorithms. The proposed hybrid model was implemented from the processing of a dataset made up of 70,000 records related to characteristics such as systolic blood pressure, diastolic blood pressure, cholesterol index, glucose index, smoking and sedentary lifestyle. The methodology for the implementation of the hybrid model consisted of the stages of data collection, data exploration, data pre-processing, selection of characteristics, and implementation of the model and the validation of results. As a result of the implementation of the model, a precision level of 72.18% was obtained in relation to the detection of the risk of suffering from arterial hypertension.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages17-22
Number of pages6
ISBN (Electronic)9781728176956
DOIs
StatePublished - 22 Sep 2021
Externally publishedYes
Event13th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2021 - Lima, Peru
Duration: 22 Sep 202123 Sep 2021

Publication series

NameProceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021

Conference

Conference13th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2021
Country/TerritoryPeru
CityLima
Period22/09/2123/09/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • arterial hypertension
  • blood presure
  • hybrid model
  • PCA
  • SVM

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