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”

Pandemic-Driven Innovations Contribute to the Development of Information-Based Medicine

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F22%3A00558148" target="_blank" >RIV/67985807:_____/22:00558148 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/B978-0-12-821318-6.00019-0" target="_blank" >http://dx.doi.org/10.1016/B978-0-12-821318-6.00019-0</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/B978-0-12-821318-6.00019-0" target="_blank" >10.1016/B978-0-12-821318-6.00019-0</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pandemic-Driven Innovations Contribute to the Development of Information-Based Medicine

  • Original language description

    This chapter is focused on decision support systems as important examples of artificial intelligence tools with an increasing popularity. In connection with applying artificial intelligence tools in healthcare, their ability to perform epidemic modeling or to contribute to targeting public health interventions are discussed as well. The expected remarkable transforms of medical care including its informatization is described here by the concept of information-based medicine.

  • 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

    <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

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

    Digital Innovation for Healthcare in COVID-19: Pandemic Strategies and Solutions

  • ISBN

    978-0-12-821318-6

  • Number of pages of the result

    18

  • Pages from-to

    245-262

  • Number of pages of the book

    428

  • Publisher name

    Elsevier

  • Place of publication

    London

  • UT code for WoS chapter