All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Health Recommendation System Framework for the Optimization of Medical Decisions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F20%3AA2101X6T" target="_blank" >RIV/61988987:17610/20:A2101X6T - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-3-658-27941-7_11" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-658-27941-7_11</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-658-27941-7_11" target="_blank" >10.1007/978-3-658-27941-7_11</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Health Recommendation System Framework for the Optimization of Medical Decisions

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • 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

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Cognitive Computing

  • ISBN

    978-3-658-27940-0

  • Number of pages of the result

    24

  • Pages from-to

    249-272

  • Number of pages of the book

    285

  • Publisher name

    Springer

  • Place of publication

    Wiesbaden

  • UT code for WoS chapter