@inproceedings{55a268b2f8a64dd09b0adb9dc8174b81,
title = "A system for geoanalysis of clinical and geographical data",
abstract = "Patients enrolled in clinical trials are regularly subject to biological analyses and related data is included in Electronic Medical Records (EMRs) to summarize patient health status and to support administrative information. Well defined protocols guide the bioanalytes studies on patients. Often EMRs also contain geographical data about patients, i.e. place of birth and place of living. The integration of geographical data and biological analytes may represent a meaningful way to extract hidden information from data. For instance, possible correlations among outlier patients and some feature of areas they live in. In collaboration with the University Hospital of Catanzaro, we designed a framework able to integrate and analyze biological analytes. The system is able to relate biological data to diagnosis codes and to analyze integrated data against geographic areas of interest. The aim is to show correlations among patients features (e.g. cluster of patients with similar profiles or outlier patients) and areas features (e.g. presence of power grids or polluted sites). In addition we present a study on correlations between cardiovascular diseases and water quality in Calabria.",
keywords = "Clinical diagnosis analysis, EMR, Geographical data analysis",
author = "Giovanni Canino and Guzzi, \{Pietro H.\} and Giuseppe Tradigo and Aidong Zhang and Pierangelo Veltri",
note = "Publisher Copyright: Copyright {\textcopyright} 2014 ACM.; 3rd ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, HealthGIS 2014 - Held in Conjunction with the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM GIS 2014 ; Conference date: 04-11-2014",
year = "2014",
month = nov,
day = "4",
doi = "10.1145/2676629.2676635",
language = "English",
series = "Proceedings of the 3rd ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, HealthGIS 2014 - In Conjuncture with the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM GIS 2014",
publisher = "Association for Computing Machinery",
pages = "57--62",
editor = "Goldberg, \{Daniel W.\} and Ori Gudes and Yaron Kanza",
booktitle = "Proceedings of the 3rd ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, HealthGIS 2014 - In Conjuncture with the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM GIS 2014",
address = "United States",
}