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.

Analysis of Medical Pathways by means of Frequent Closed Sequences / Baralis, ELENA MARIA; Bruno, Giulia; Chiusano, SILVIA ANNA; Domenici, VIRNA CARMEN; Mahoto, NAEEM AHMED; Petrigni, Caterina. - 6278:(2010), pp. 418-425. (Intervento presentato al convegno 14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems tenutosi a Cardiff (UK) nel 8-10 September 2010) [10.1007/978-3-642-15393-8_47].

Analysis of Medical Pathways by means of Frequent Closed Sequences

BARALIS, ELENA MARIA;BRUNO, GIULIA;CHIUSANO, SILVIA ANNA;DOMENICI, VIRNA CARMEN;MAHOTO, NAEEM AHMED;PETRIGNI, CATERINA
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.
2010
9783642153921
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2381288
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