TY - GEN
T1 - On the Correlation between Geo-Referenced Clinical Data and Remotely Sensed Air Pollution Maps
AU - Dagliati, Arianna
AU - Marinoni, Andrea
AU - Cerra, Carlo
AU - Gamba, Paolo
AU - Bellazzi, Riccardo
PY - 2015
Y1 - 2015
N2 - This work presents an analysis framework enabling the integration of a clinical-administrative dataset of Type 2 Diabetes (T2D) patients with environmental information derived from air quality maps acquired from remote sensing data. The research has been performed within the EU project MOSAIC, which gathers T2D patients' data coming from Fondazione S. Maugeri (FSM) hospital and the Pavia local health care agency (ASL). The proposed analysis is aimed to highlight the complexity of the domain, showing the different perspectives that can be adopted when applying a data-driven approach to large variety of temporal, geo-localized data. We investigated a set of 899 patients, located in the Pavia area, and detected several patterns depicting how clinical facts and air pollution variations may be related.
AB - This work presents an analysis framework enabling the integration of a clinical-administrative dataset of Type 2 Diabetes (T2D) patients with environmental information derived from air quality maps acquired from remote sensing data. The research has been performed within the EU project MOSAIC, which gathers T2D patients' data coming from Fondazione S. Maugeri (FSM) hospital and the Pavia local health care agency (ASL). The proposed analysis is aimed to highlight the complexity of the domain, showing the different perspectives that can be adopted when applying a data-driven approach to large variety of temporal, geo-localized data. We investigated a set of 899 patients, located in the Pavia area, and detected several patterns depicting how clinical facts and air pollution variations may be related.
KW - Air pollution maps
KW - Environmental factors
KW - Geo-referenced data
KW - Type 2 Diabetes
UR - http://www.scopus.com/inward/record.url?scp=84951950711&partnerID=8YFLogxK
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U2 - 10.3233/978-1-61499-564-7-1048
DO - 10.3233/978-1-61499-564-7-1048
M3 - Conference contribution
AN - SCOPUS:84951950711
SN - 9781614995630
VL - 216
T3 - Studies in Health Technology and Informatics
SP - 1048
BT - Studies in Health Technology and Informatics
PB - IOS Press
T2 - 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
Y2 - 19 August 2015 through 23 August 2015
ER -