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Publikační činnost
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Record type:
kapitola v odborné knize (C)
Home Department:
Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:
Health Recommendation System Framework for the Optimization of Medical Decisions
Citace
Teran, L., Pincay Nieves, J., Pacheco Barzallo, D., Štěpnička, M. a Simancas-Racines, D. Health Recommendation System Framework for the Optimization of Medical Decisions.
In:
Cognitive Computing.
Wiesbaden: Springer, 2020. s. 249-272. Edition Informatik Spektrum, vol. 1. ISBN 978-3-658-27940-0.
Subtitle
Publication year:
2020
Obor:
Informatika
Form of publication:
Tištená verze
ISBN code:
978-3-658-27940-0
Book title in original language:
Cognitive Computing
Title of the edition and volume number:
Edition Informatik Spektrum, vol. 1
Place of publishing:
Wiesbaden
Publisher name:
Springer
Issue reference (issue number):
:
Published:
v zahraničí
Author of the source document:
Number of pages:
24
Book page count:
285
Page from:
249
Page to:
272
Book print run:
999
EID:
Key words in English:
Recommendation systems; decision-making; health care system; expert system; fuzzy relational compositions.
Annotation in original language:
The introduction of recommendation systems for the health sector has opened additional channels to improve the decision-making of physicians and administrators of the health care system. Web-based and mobile applications, social networks and virtual communities could improve these processes. The Internet provides a huge amount of information; therefore, the creation of intelligent mechanisms and tools, such as the ones proposed, allows doctors and the health sector to be better informed and improve communication channels in the decision-making process. In this work, a theoretical framework for the design and implementation of the so-called project MedicGate, a smart social network to optimize medical decisions is presented. The expectation is that this initiative will have an impact on those responsible for the generation of health policies, by providing information and resources for decision-making through informed knowledge and feedback from the medical and academic sectors.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17610/20:A2101X6T
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