Z. S. Wong, Jiaqi Zhou, Qingpeng Zhang
2019.2.1Infection Disease & Health
tlooto Summary
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.
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.
Citation format
WONG, Z. S.; ZHOU, Jiaqi; ZHANG, Qingpeng. Artificial intelligence for infectious disease big data analytics. Infection Disease & Health, 2019, 24 1: 44–48.