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
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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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
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