Artificial Intelligence Algorithms for Prediction and Diagnosis of Air Pollution Affecting Human Health
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F24%3A00372785" target="_blank" >RIV/68407700:21110/24:00372785 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1088/1742-6596/2701/1/012072" target="_blank" >https://doi.org/10.1088/1742-6596/2701/1/012072</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1742-6596/2701/1/012072" target="_blank" >10.1088/1742-6596/2701/1/012072</a>
Alternative languages
Result language
angličtina
Original language name
Artificial Intelligence Algorithms for Prediction and Diagnosis of Air Pollution Affecting Human Health
Original language description
The complexity and growth of data in healthcare means that artificial intelligence (AI) will be increasingly applied in this area. This article (study) describes the types of AI used by care providers and life and biophysical sciences companies. This paper describes the structure of the methodology of artificial intelligence (AI) algorithms and its machine learning (ML) subsystem with respect to the prediction of environmental pollution and its negative impact on humans. Key categories of AI applications focus on diagnosis and treatment or referral, patient engagement and adherence, and administrative activities. Diagnosis of diseases is a crucial and very important task of the physician in planning the right treatment and ensuring the health status of patients. The application of artificial intelligence (AI) can improve the level of diagnostic accuracy and efficiency. Indoor air quality (IAQ) is an important issue for well-being and good health, as most people spend almost all of their time in different types of buildings. Given the increasing availability of data and the rapid expansion of AI techniques, it is essential to explore the development of indoor and outdoor air quality predictions using AI techniques to improve and maintain IAQ.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10100 - Mathematics
Result continuities
Project
<a href="/en/project/FV40183" target="_blank" >FV40183: EXPANSION OF THE MANUFACTURING SYSTEM OF THE INTELLIGENT HOUSE</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Journal of Physics: Conference Series
ISBN
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ISSN
1742-6596
e-ISSN
1742-6596
Number of pages
19
Pages from-to
1-19
Publisher name
IOPscience
Place of publication
Madeira
Event location
Beograd
Event date
Aug 28, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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