Approach to Patient Assessment Based on a Spatial-Temporal Model for Decision Support Systems in Cardiology
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Approach to Patient Assessment Based on a Spatial-Temporal Model for Decision Support Systems in Cardiology
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Approach to Patient Assessment Based on a Spatial-Temporal Model for Decision Support Systems in Cardiology
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10100 - Mathematics
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Lecture Notes in Networks and Systems
ISBN
978-303087177-2
ISSN
2367-3370
e-ISSN
—
Počet stran výsledku
10
Strana od-do
461-470
Název nakladatele
Springer
Místo vydání
Cham
Místo konání akce
Sochi
Datum konání akce
1. 1. 2021
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—