Probabilistic Modelling and Decision Support in Personalized Medicine

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Probabilistic Modelling and Decision Support in Personalized Medicine

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Probabilistic Modelling and Decision Support in Personalized Medicine

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

20601 - Medical engineering

Projekt

<a href="/cs/project/TH03010468" target="_blank" >TH03010468: Integrovaný aktivní monitorovací systém pro pacienty s externími kardiostimulátory</a><br>

Návaznosti

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

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Intelligent Systems for Sustainable Person-Centered Healthcare

ISBN

9783030793555

Počet stran výsledku

13

Strana od-do

211-223

Počet stran knihy

250

Název nakladatele

Springer

Místo vydání

Cham

Kód UT WoS kapitoly

—