Artificial Intelligence Algorithms for Prediction and Diagnosis of Air Pollution Affecting Human Health

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Artificial Intelligence Algorithms for Prediction and Diagnosis of Air Pollution Affecting Human Health

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Artificial Intelligence Algorithms for Prediction and Diagnosis of Air Pollution Affecting Human Health

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10100 - Mathematics

Projekt

<a href="/cs/project/FV40183" target="_blank" >FV40183: ROZŠÍŘENÍ SYSTÉMU ŘÍZENÍ PRODUKTU INTELIGENTNÍ DŮM</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Journal of Physics: Conference Series

ISBN

—

ISSN

1742-6596

e-ISSN

1742-6596

Počet stran výsledku

19

Strana od-do

1-19

Název nakladatele

IOPscience

Místo vydání

Madeira

Místo konání akce

Beograd

Datum konání akce

28. 8. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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