Profiling health prevention population for hypertension screening and ECG test rationing

Nilson Herazo-Padilla, Vincent Augusto, Bienvenu Bongue, Xiaolan Xie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper addresses the question of whether ECG test is needed for hypertension screening for all subjects of preventive health checkup. For this purpose, we propose a decision tree approach for subject profiling depending on their characteristics and results of medical exams. The population of hypertension subjects being too small with 1% of the whole, learning sets with higher hypertension population are proposed to enhance the decision tree approach. The decision tree allows identifying subject groups for which ECG is needed. Numerical experiments with historical data from CES-Saint Etienne show a correct classification probability of 96% of hypertension subjects and a drastic reduction of 98% ECG tests. Last but not the least, the resulting decision tree is implementable in practice.

Original languageEnglish (US)
Title of host publication2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018
PublisherIEEE Computer Society
Pages371-377
Number of pages7
ISBN (Electronic)9781538635933
DOIs
StatePublished - Dec 4 2018
Externally publishedYes
Event14th IEEE International Conference on Automation Science and Engineering, CASE 2018 - Munich, Germany
Duration: Aug 20 2018Aug 24 2018

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2018-August
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference14th IEEE International Conference on Automation Science and Engineering, CASE 2018
Country/TerritoryGermany
CityMunich
Period8/20/188/24/18

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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