In this paper we present a Decision Support System (DSS) aimed at forecasting high demand of admission on health care structures due to environmental pollution. The computational engine of the DSS is based on Autoregressive Hidden Markov Models (AHMM). We estimate the forecasting model by analyzing the historical daily average concentrations of pollutants and the number of hospital admissions, collected from multiple data sources. Given the actual concentration of different pollutants, measured by a network of sensors, the DSS allows to forecast the demand of hospital admissions for acute diseases in the following 1 to 6 days. We tested our system on cardiovascular and respiratory diseases in the area of Milan. The performances of our system, compared with multiple linear regression, show that AHMM are a robust approach to capture the connections among health and environmental indicators

Toscani, D., Quarenghi, L., Bargna, F., Archetti, F., Messina, V. (2010). A DSS for Assessing the Impact of Environmental Quality on Emergency Hospital Admissions. In 2010 IEEE Workshop on Health Care Management (WHCM 2010) (pp.1-6) [10.1109/WHCM.2010.5441261].

A DSS for Assessing the Impact of Environmental Quality on Emergency Hospital Admissions

ARCHETTI, FRANCESCO ANTONIO;MESSINA, VINCENZINA
2010

Abstract

In this paper we present a Decision Support System (DSS) aimed at forecasting high demand of admission on health care structures due to environmental pollution. The computational engine of the DSS is based on Autoregressive Hidden Markov Models (AHMM). We estimate the forecasting model by analyzing the historical daily average concentrations of pollutants and the number of hospital admissions, collected from multiple data sources. Given the actual concentration of different pollutants, measured by a network of sensors, the DSS allows to forecast the demand of hospital admissions for acute diseases in the following 1 to 6 days. We tested our system on cardiovascular and respiratory diseases in the area of Milan. The performances of our system, compared with multiple linear regression, show that AHMM are a robust approach to capture the connections among health and environmental indicators
paper
Time series analysis, Health-environment correlation, Hospital demand planning
English
2010 IEEE Workshop on Health Care Management
9781424449972
2010
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5441261
Toscani, D., Quarenghi, L., Bargna, F., Archetti, F., Messina, V. (2010). A DSS for Assessing the Impact of Environmental Quality on Emergency Hospital Admissions. In 2010 IEEE Workshop on Health Care Management (WHCM 2010) (pp.1-6) [10.1109/WHCM.2010.5441261].
Toscani, D; Quarenghi, L; Bargna, F; Archetti, F; Messina, V
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/42476
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