DocumentCode :
1581855
Title :
Health-Mining: a Disease Management Support Service based on Data Mining and Rule Extraction
Author :
Bei, Andrea ; De Luca, Stefano ; Ruscitti, Giancarlo ; Salamon, Diego
Author_Institution :
Enterprise Digital Archit., Rome
fYear :
2005
fDate :
6/27/1905 12:00:00 AM
Firstpage :
5466
Lastpage :
5470
Abstract :
The disease management is the collection of the processes aimed to control the health care and improving the quality at same time reducing the overall cost of the procedures. Our system, health-mining, is a decision support system with the objective of controlling the adequacy of hospitalization and therapies, determining the effective use of standard guidelines and eventually identifying better ones emerged from the medical practice (evidence based medicine). In realizing the system, we have the aim of creation of a path to admissions´ appropriateness criteria construction, valid at an international level. A main goal of the project is rule extraction and the identification of the rules adequate in term of efficacy, quality and cost reduction, especially in the view of fast changing technologies and medicines. We tested health-mining in a real test case for an Italian region, Regione Veneto, on the installation of pacemaker and ICD
Keywords :
data mining; decision support systems; diseases; health care; medical information systems; ICD; cost reduction; data mining; decision support system; disease management support service; efficacy; evidence based medicine; health care; health mining; pacemaker; rule extraction; Control systems; Costs; Data mining; Decision support systems; Diseases; Medical control systems; Medical services; Process control; Quality management; Testing; DSS; Decision Support System; Evidence Based Medicine; data mining; disease management; quality records;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
Type :
conf
DOI :
10.1109/IEMBS.2005.1615720
Filename :
1615720
Link To Document :
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