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  1. Proceedings of the Third ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health (HealthGIS '14)
  2. A system for geoanalysis of clinical and geographical data
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A system for geoanalysis of clinical and geographical data

Content Provider ACM Digital Library
Author Canino, Giovanni Zhang, Aidong Veltri, Pierangelo Guzzi, Pietro H. Tradigo, Giuseppe
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.
Starting Page 57
Ending Page 62
Page Count 6
File Format PDF
ISBN 9781450331364
DOI 10.1145/2676629.2676635
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-11-04
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Geographical data analysis Data analysys Spatial data Clinical diagnosis analysis Emr
Content Type Text
Resource Type Article
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