title: Regional medical data mining system.
abstract: This paper suggests a solution to acquire medical data from hospitals located in a region (addressing especially the DKMT Euroregion), and then perform data mining. The medical data from the hospital databases are exported in XML format, according to HL7 CDA standard. Afterwards, they are automatically centralized on a server in a database using web services calls. The data will be analyzed with the data mining tool WEKA. Data of interest are converted into ARFF format and loaded into WEKA. The next stage consists in preprocessing and analyzing the data based on the algorithms provided by WEKA, having as a goal several relevant medical conclusions. WEKA application interface has been improved to facilitate the process of performing predictions.
authors.affiliation: Politehnica University from Timisoara, Romania. raul.robu@aut.upt.ro
authors.forename: Raul
authors.initials: R
authors.lastname: Robu
authors.forename: Vasile
authors.initials: V
authors.lastname: Stoicu-Tivadar
mesh_terms: D057225:Data Mining / Q000379:methods*; D019992:Databases as Topic; D005060:Europe; D057208:Health Level Seven; D006761:Hospitals