Regression Modelling as a Basis of Clinical Decision Support
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F21%3A00553224" target="_blank" >RIV/67985807:_____/21:00553224 - isvavai.cz</a>
Result on the web
<a href="https://paksom.cosrec.org/wp-content/uploads/2022/02/PaKSoM2021.pdf" target="_blank" >https://paksom.cosrec.org/wp-content/uploads/2022/02/PaKSoM2021.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Regression Modelling as a Basis of Clinical Decision Support
Original language description
Clinical decision support systems have established their place as assistive tools helpful in particular decision making tasks related to medical care. This paper is focused on regression modelling applicable to solving clinical decision making tasks. A general overview and selected particular examples of regression applications are presented. The role of medical informatics in the recent combat against the COVID-19 pandemic is discussed as well. The authors also characterize future trends of machine learning tools within clinical decision support systems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/NU21-08-00432" target="_blank" >NU21-08-00432: Predicting functional outcome in schizophrenia from multimodal neuroimaging and clinical data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
PaKSoM 2021. Proceedings of the 3rd Virtual International Conference Path to a Knowledge Society - Managing Risks and Innovation
ISBN
978-86-80593-72-2
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
97-104
Publisher name
Complex Systems Research Centre and Mathematical Institute of the Serbian Academy of Sciences and Arts
Place of publication
Niš
Event location
Virtual
Event date
Nov 15, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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