Applications of artificial intelligence and machine learning in disasters and public health emergencies

Lu, Sally, Christie, Gordon A, Nguyen, Thanh Thi, Freeman, Jeffrey D and Hsu, Edbert B 2021, Applications of artificial intelligence and machine learning in disasters and public health emergencies, Disaster Medicine and Public Health Preparedness, pp. 1-8, doi: 10.1017/dmp.2021.125.

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Title Applications of artificial intelligence and machine learning in disasters and public health emergencies
Author(s) Lu, Sally
Christie, Gordon A
Nguyen, Thanh ThiORCID iD for Nguyen, Thanh Thi orcid.org/0000-0001-9709-1663
Freeman, Jeffrey D
Hsu, Edbert B
Journal name Disaster Medicine and Public Health Preparedness
Start page 1
End page 8
Total pages 8
Publisher Cambridge University Press
Place of publication Cambridge, Eng.
Publication date 2021-06-17
ISSN 1935-7893
1938-744X
Keyword(s) artificial intelligence
disaster preparedness
machine learning
public health emergencies
Summary Indexed literature (from 2015 to 2020) on artificial intelligence (AI) technologies and machine learning algorithms (ML) pertaining to disasters and public health emergencies were reviewed. Search strategies were developed and conducted for PubMed and Compendex. Articles that met inclusion criteria were filtered iteratively by title followed by abstract review and full text review. Articles were organized to identify novel approaches and breadth of potential AI applications. A total of 1217 articles were initially retrieved by the search. Upon relevant title review, 1003 articles remained. Following abstract screening, 667 articles remained. Full text review for relevance yielded 202 articles. Articles that met inclusion criteria totaled 56 articles. Those identifying specific roles of AI and ML (17 articles) were grouped by topics highlighting utility of AI and ML in disaster and public health emergency contexts. Development and use of AI and ML have increased dramatically over the past few years. This review discusses and highlights potential contextual applications and limitations of AI and ML in disaster and public health emergency scenarios.
Notes In Press article
Language eng
DOI 10.1017/dmp.2021.125
Indigenous content off
Field of Research 1117 Public Health and Health Services
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30152914

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