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Probabilistic Modelling and Decision Support in Personalized Medicine

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F22%3A00144137" target="_blank" >RIV/00216224:14610/22:00144137 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-030-79353-1_11" target="_blank" >http://dx.doi.org/10.1007/978-3-030-79353-1_11</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-79353-1_11" target="_blank" >10.1007/978-3-030-79353-1_11</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Probabilistic Modelling and Decision Support in Personalized Medicine

  • Original language description

    The concept of personalized medicine, often called the biggest revolution in medicine, is becoming an emerging practice. The article presents personalized medicine in a broader context as an interdisciplinary issue covering the current trends of information and communication technology in medicine, legal aspects, and probabilistic network modelling. Employing the concept of probabilistic network reasoning means extracting the meaningful knowledge, mathematizing it, incorporating the particular patient information and then using inference mechanisms of the created mathematical model for personalized decision support. Bayesian networks can serve as a multidimensional decision support framework representing the real-world medical domain. Their power, together with the possibilities of global sharing of necessary medical knowledge, represents a promising approach of extracting new, often hidden, knowledge about the given medical domain and thus opens up new ways of achieving the delivery of personalized medicine. Establishing patient diagnosis and treatment prognoses are the critical issues in personalized decision support. Mathematical modelling is beginning to play an irreplaceable role here.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

    <a href="/en/project/TH03010468" target="_blank" >TH03010468: Integrated active monitoring system for patients with external pacemakers</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Intelligent Systems for Sustainable Person-Centered Healthcare

  • ISBN

    9783030793555

  • Number of pages of the result

    13

  • Pages from-to

    211-223

  • Number of pages of the book

    250

  • Publisher name

    Springer

  • Place of publication

    Cham

  • UT code for WoS chapter