Screening a portfolio of pathologies by subject profiling and medical test rationing

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

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

1 Scopus citations

Abstract

Health preventive medical evaluation programs are strategies commonly implemented as part of national health prevention efforts. Two problems related with the implementation of such strategies are subject profiling and medical test selection. The amount of different types of information that have to be analyzed by physicians in the screening for pathologies and medical test prescription can be overwhelming and significantly increases the complexity of this problem. Two decision-tree-based approaches are proposed in this study for subject profiling and medical test rationing. The proposed models perform well in terms of prediction. Results show that the implementation of these approaches helps to profile consultants into healthy and unhealthy subjects which can be used to ration medical test and design policies for preventive health evaluation programs.

Original languageEnglish (US)
Title of host publication2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019
PublisherIEEE Computer Society
Pages424-430
Number of pages7
ISBN (Electronic)9781728103556
DOIs
StatePublished - Aug 2019
Externally publishedYes
Event15th IEEE International Conference on Automation Science and Engineering, CASE 2019 - Vancouver, Canada
Duration: Aug 22 2019Aug 26 2019

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2019-August
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference15th IEEE International Conference on Automation Science and Engineering, CASE 2019
CountryCanada
CityVancouver
Period8/22/198/26/19

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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