An overview of GeoAI applications in health and healthcare

被引：67
|
作者：
Boulos, Maged N. Kamel [1 ]
Peng, Guochao [1 ]
Trang VoPham [2 ,3 ]
机构：
[1] Sun Yat Sen Univ, Sch Informat Management, East Campus, Guangzhou 510006, Guangdong, Peoples R China
[2] Brigham & Womens Hosp, Dept Med, Channing Div Network Med, 181 Longwood Ave, Boston, MA 02115 USA
[3] Harvard Med Sch, 181 Longwood Ave, Boston, MA 02115 USA
来源：
INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS | 2019年 / 18卷 / 1期
关键词：
Artificial intelligence; Big data; Deep learning; GeoAI; GIS; Geomedicine; Health; Healthcare; Internet of Things; Machine learning; Precision medicine; Public health; Smart healthy cities; PM2.5; CONCENTRATIONS; AIR-POLLUTION; SMART CITIES; ENVIRONMENT; PREDICTION; INTERNET; OBESITY; CHINA;
D O I：
10.1186/s12942-019-0171-2
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
The moulding together of artificial intelligence (AI) and the geographic/geographic information systems (GIS) dimension creates GeoAI. There is an emerging role for GeoAI in health and healthcare, as location is an integral part of both population and individual health. This article provides an overview of GeoAI technologies (methods, tools and software), and their current and potential applications in several disciplines within public health, precision medicine, and Internet of Things-powered smart healthy cities. The potential challenges currently facing GeoAI research and applications in health and healthcare are also briefly discussed.
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页数：9
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