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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

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

  • e-ISSN

  • 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