Affordable Access

Publisher Website

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

Authors
  • Garlík, Bohumír
  • Přívětivý, Jan
Type
Published Article
Journal
Journal of Physics Conference Series
Publisher
IOP Publishing
Publication Date
Feb 01, 2024
Volume
2701
Issue
1
Identifiers
DOI: 10.1088/1742-6596/2701/1/012072
Source
ioppublishing
Keywords
Disciplines
  • Paper
License
Unknown

Abstract

The complexity and growth of data in healthcare means that artificial intelligence (AI) will be increasingly applied in this area. This article (study) de-scribes 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.

Report this publication

Statistics

Seen <100 times