Approach to Patient Assessment Based on a Spatial-Temporal Model for Decision Support Systems in Cardiology

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F22%3AA2402MET" target="_blank" >RIV/61988987:17610/22:A2402MET - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-87178-9_46" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-87178-9_46</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-87178-9_46" target="_blank" >10.1007/978-3-030-87178-9_46</a>

Result language
angličtina
Original language name
Approach to Patient Assessment Based on a Spatial-Temporal Model for Decision Support Systems in Cardiology
Original language description
Cardiovascular (CV) diseases represent a significant proportion of all diseases and fatal events worldwide. With the development of screening and digital technologies, as well as smart medical gadgets, the number of sources and volume of medical data characterizing CV health is increasing. It creates conditions for the development of patient support systems for the early detection and prevention of the development of CV diseases. The article presents the theoretical provisions of the data-driven approach to the automatic assessment of individual CV health status according to a variety of indicators, including the spatial-temporal assessment model and the method for obtaining it. The proposed model of patient is focused on describing the state and changes in CV health using linguistic propositions. The conducted experimental study showed the effectiveness of the proposed approach for identifying problems with CV health of patients.
Czech name
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Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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