A SOFTWARE SYSTEM FOR DATA INTEGRATION AND DECISION SUPPORT FOR EVALUATION OF AIR POLLUTION HEALTH IMPACT

被引：0
|
作者：
Toscani, Daniele [2 ]
Bargna, Federica [1 ]
Quarenghi, Luigi [1 ]
Archetti, Francesco [1 ,2 ]
Giordani, Ilaria [2 ]
机构：
[1] Univ Milano Bicocca, Dept Informat Syst & Commun, DISCO, Viale Sarca 336, Milan, Italy
[2] Consorzio Milano Ric, Via Cozzi 53, Milan, Italy
来源：
ICEIS 2010: PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 2: ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS | 2010年
关键词：
Data Integration; Forecast; Health-environment Correlation; SCENARIO GENERATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we present a software system for decision support (DSS - Decision Support System) aimed at forecasting high demand of admission on health care structures due to environmental pollution. The algorithmic kernel of the system is based on machine learning, the software architecture is such that both persistent and sensor data are integrated through a data integration infrastructure. Given the actual concentration of different pollutants, measured by a network of sensors, the DSS allows forecasting the demand of hospital admissions for acute diseases in the next 1 to 6 days. We tested our system on cardiovascular and respiratory diseases in the area of Milan.
引用
收藏
页码：284 / 290
页数：7
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