Findings from University of Hong Kong Yields New Findings on Artificial Intelligence (A Big Data and Artificial Intelligence Framework for Smart and Personalized Air Pollution Monitoring and Health Management In Hong Kong): Artificial Intelligence

2021 SEP 30 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- New research on Artificial Intelligence is the subject of a report. According to news reporting originating from Hong Kong, People’s Republic of China, by NewsRx correspondents, research stated, “All people in the world are entitled to enjoy a clean environment and a good quality of life. With big data and artificial intelligence technologies, it is possible to estimate personalized air pollution exposure and synchronize it with activity, health, quality of life and behavioural data, and provide real-time, personalized and interactive alert and advice to improve the health and well-being of individual citizens.”

Financial support for this research came from Theme-based Research Scheme of the Research Grants Council of the Hong Kong SAR Government.

Our news editors obtained a quote from the research from the University of Hong Kong, “In this paper, we propose an overarching framework outlining five major challenges to personalized air pollution monitoring and health management, and respective methodologies in an integrated interdisciplinary manner. First, urban air quality data is sparse, rendering it difficult to provide timely personalized alert and advice. Second, collected data, especially those involving human inputs such as health perception, are often missing and erroneous. Third, the data collected are heterogeneous, and highly complex, not easily comprehensible to facilitate individual and collective decision-making. Fourth, the causal relationships between personal air pollutants exposure (specifically, PM2.5 and PM1.0 and NO2) and personal health conditions, and health-related quality of life perception, of young asthmatics and young healthy citizens in Hong Kong (HK), are yet to be established. Fifth, whether personalized and smart information and advice provided can induce behavioural change and improve health and quality of life are yet to be determined. To overcome these challenges, our first novelty is to develop an AI and big data framework to estimate and forecast air quality in high temporal-spatial resolution and real-time. Our second novelty includes the deployment of mobile pollution sensor platforms to substantially improve the accuracy of estimated and forecasted air quality data, and the collection of activity, health condition and perception data. Our third novelty is the development of visualization tools and comprehensible indexes, by correlating personal exposure with four types of personal data, to provide timely, personalized pollution, health and travel alerts and advice. Our fourth novelty is determining causal relationship, if any, between personal pollutants, PM1.0 and PM2.5 , NO2 exposure and personal health condition, and personal health perception, based on a clinical experiment of 150 young asthmatics and 150 young healthy citizens in HK. Our fifth novelty is an intervention study to determine if smart information, presented via our proposed visualized platform, will induce personal behavioural change.”

According to the news editors, the research concluded: “Our novel big data AI-driven approach, when integrated with other analytical approaches, provides an integrated interdisciplinary framework for personalized air pollution monitoring and health management, easily transferrable to and applicable in other domains and countries.”

This research has been peer-reviewed.

For more information on this research see: A Big Data and Artificial Intelligence Framework for Smart and Personalized Air Pollution Monitoring and Health Management In Hong Kong. Environmental Science & Policy, 2021;124:441-450. Environmental Science & Policy can be contacted at: Elsevier Sci Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, Oxon, England. (Elsevier - www.elsevier.com; Environmental Science & Policy - http://www.journals.elsevier.com/environmental-science-and-policy/)

The news editors report that additional information may be obtained by contacting Victor O. K. Li, University of Hong Kong, Dept. of Electronic and Electrical Engineering, Pokfulam, Hong Kong, People’s Republic of China. Additional authors for this research include Jacqueline C. K. Lam, Yang Han and Kenyon Chow.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.envsci.2021.06.011. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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