Artificial Intelligence and Big Data in Public Health

被引：170

作者：

Benke, Kurt ^{[1
,2
]}

Benke, Geza ^{[3
]}

机构：

[1] Univ Melbourne, Sch Engn, Parkville, Vic 3010, Australia

[2] State Govt Victoria, Ctr AgriBiosci, AgriBio, Bundoora, Vic 3083, Australia

[3] Monash Univ, Sch Publ Hlth & Prevent Med, 553 St Kilda Rd, Melbourne, Vic 3004, Australia

来源：

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH | 2018年 / 15卷 / 12期

关键词：

algorithms; Big Data; machine learning; deep learning; data mining; visualization; epidemiology; predictive analytics; precision medicine; vision; wearable AI; DIABETIC-RETINOPATHY; SURVEILLANCE TOOLS; PRECISION MEDICINE; SOCIAL MEDIA; EYE;

D O I：

10.3390/ijerph15122796

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页数：9

共 37 条

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