Searching for cerebrovascular disease optimal treatment recommendations applying markovian processes

Hermilo Victorio-Meza, Manuel Mejia-Lavalle, Alicia Martinez Rebollar, Joaquin Perez Ortega, Obdulia Pichardo Lagunas, Grigori Sidorov

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

Abstract

It is modeled diagnosis and treatment for cerebrovascular diseases by partially observable Markov decision processes. It is desired that this model will be helpful for physicians without adequate experience for the treatment of such diseases. Patients with cerebrovascular diseases need immediate treatment to prevent disability from irreversible neuronal damage or even death. Information used in this type of modeling comes exclusively from neuroimaging. Our starting results encourage us to continuing this research.

Original languageEnglish
Title of host publicationProceedings - 2016 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages48-52
Number of pages5
ISBN (Electronic)9781509052905
DOIs
StatePublished - 22 Dec 2016
Event2016 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2016 - Cuernavaca, Morelos, Mexico
Duration: 22 Nov 201625 Nov 2016

Publication series

NameProceedings - 2016 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2016

Conference

Conference2016 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2016
Country/TerritoryMexico
CityCuernavaca, Morelos
Period22/11/1625/11/16

Keywords

  • Cerebrovascular disease
  • Markov decision processes
  • POMDP

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