Literature DB >> 30541697

Artificial Intelligence for infectious disease Big Data Analytics.

Zoie S Y Wong1, Jiaqi Zhou2, Qingpeng Zhang2.   

Abstract

BACKGROUND: Since the beginning of the 21st century, the amount of data obtained from public health surveillance has increased dramatically due to the advancement of information and communications technology and the data collection systems now in place.
METHODS: This paper aims to highlight the opportunities gained through the use of Artificial Intelligence (AI) methods to enable reliable disease-oriented monitoring and projection in this information age. RESULTS AND
CONCLUSION: It is foreseeable that together with reliable data management platforms AI methods will enable analysis of massive infectious disease and surveillance data effectively to support government agencies, healthcare service providers, and medical professionals to response to disease in the future.
Copyright © 2018 Australasian College for Infection Prevention and Control. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Artificial Intelligence; Emergency response; Infectious diseases modelling; Machine learning

Mesh:

Year:  2018        PMID: 30541697     DOI: 10.1016/j.idh.2018.10.002

Source DB:  PubMed          Journal:  Infect Dis Health        ISSN: 2468-0451


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