Multi-dimensional Pattern Mining - A Case Study in Healthcare

Andreia Silva, Cláudia Antunes

2014

Abstract

Huge amounts of data are continuously being generated in the healthcare system. A correct and careful analysis of these data may bring huge benefits to all people and processes involved in the healthcare management. However, the characteristics of healthcare data do not make this job easy. These data are usually too complex, massive, with high dimensionality, and are irregularly distributed over time. In the last decade, data mining has begun to address this area, providing the technology and approaches to transform these complex data into useful information for decision support. Multi-relational data mining, in particular, has gained attention since it aims for the discovery of frequent relations that involve multiple dimensions. In this work we present a case study on the healthcare domain. Using the Hepatitis dataset, we show how that data can be modeled and explored in a multi-dimensional model, and we present and discuss the results of applying a multi-dimensional data mining algorithm to that model.

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Paper Citation


in Harvard Style

Silva A. and Antunes C. (2014). Multi-dimensional Pattern Mining - A Case Study in Healthcare . In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-027-7, pages 273-280. DOI: 10.5220/0004898802730280


in Bibtex Style

@conference{iceis14,
author={Andreia Silva and Cláudia Antunes},
title={Multi-dimensional Pattern Mining - A Case Study in Healthcare},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2014},
pages={273-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004898802730280},
isbn={978-989-758-027-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Multi-dimensional Pattern Mining - A Case Study in Healthcare
SN - 978-989-758-027-7
AU - Silva A.
AU - Antunes C.
PY - 2014
SP - 273
EP - 280
DO - 10.5220/0004898802730280