Analysis of Medical Pathways by means of Frequent Closed Sequences

Item Type: Proceeding
MIUR type: Proceedings > Proceedings
Title: Analysis of Medical Pathways by means of Frequent Closed Sequences
Authors string: Baralis E.; Bruno G.; Chiusano S.; Domenici V.C.; Mahoto N.A.; Petrigni C.
University authors:
Page Range: pp. 418-425
Referee type: Not specified type
Publisher: Springer
ISBN: 9783642153921
ISSN: 0302-9743
Volume: 6278
Event Title: 14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems
Event Location: Cardiff (UK)
Event Dates: 8-10 September 2010
Abstract: Analysing sequential medical data to detect hidden patterns has recently received great attention in a variety of applications. This paper addresses the analysis of patients' exam log data to rebuild from operational data an image of the steps of the medical treatment process. The analysis is performed on the medical treatment of diabetic patients provided by a Local Sanitary Agency in Italy. The extracted knowledge allows highlighting medical pathways typically adopted for specific diseases, as well as discovering deviations with respect to them, which can indicate alternative medical treatments, medical/patient negligence or incorrect procedures for data collection. Detected medical pathways include both the sets of exams which are frequently done together, and the sequences of exam sets frequently followed by patients. The proposed approach is based on the extraction of the frequent closed sequences, which provide, in a compact form, the medical pathways of interest
Date: 2010
Status: Published
Language of publication: English
Uncontrolled Keywords:
Departments (original): DAUIN - Control and Computer Engineering
DISPEA - Production Systems and Business Economics
Departments: DAUIN - Department of Control and Computer Engineering
DIGEP - Department of Management and Production Engineering
Related URLs:
    Subjects: Area 09 - Ingegneria industriale e dell'informazione > SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
    Date Deposited: 31 Jan 2011 13:00
    Last modification data (IRIS): 09 Sep 2016 14:26:40
    Update date (PORTO): 04 Oct 2016 13:38
    Id Number (DOI): 10.1007/978-3-642-15393-8_47
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