Artificial Intelligence and Big Data in Public Health

Kurt Benke and Geza Benke
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Kurt Benke: School of Engineering, University of Melbourne, Parkville, Victoria 3010, Australia
Geza Benke: School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne 3004, Australia

IJERPH, 2018, vol. 15, issue 12, 1-9

Abstract: Artificial intelligence and automation are topics dominating global discussions on the future of professional employment, societal change, and economic performance. In this paper, we describe fundamental concepts underlying AI and Big Data and their significance to public health. We highlight issues involved and describe the potential impacts and challenges to medical professionals and diagnosticians. The possible benefits of advanced data analytics and machine learning are described in the context of recently reported research. Problems are identified and discussed with respect to ethical issues and the future roles of professionals and specialists in the age of artificial intelligence.

Keywords: algorithms; Big Data; machine learning; deep learning; data mining; visualization; epidemiology; predictive analytics; precision medicine; vision; wearable AI (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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