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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

  • 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