Searching for Cerebrovascular Disease Optimal Treatment Recommendations Applying Markovian Processes

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 tre...

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Bibliographic Details
Published in2016 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) pp. 48 - 52
Main Authors Victorio-Meza, Hermilo, Mejia-Lavalle, Manuel, Martinez Rebollar, Alicia, Perez Ortega, Joaquin, Pichardo Lagunas, Obdulia, Sidorov, Grigori
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2016
Subjects
Arteries
Atherosclerosis
Cerebrovascular disease
Computational modeling
Hemorrhaging
Markov decision processes
Medical treatment
POMDP
Transient analysis
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Summary: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.
ISBN:1509052909
9781509052905
DOI:10.1109/ICMEAE.2016.018