Feature Selection for Temporal Health Records

Authors:
Rohan A. Baxter;Graham J. Williams;Hongxing He
Affiliations:
-;-;-
Venue:
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Year:
2001

Citing 3
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Abstract

In this paper we consider three alternative feature vector representations of patient health records. The longitudinal (temporal), irregular character of patient episode history, an integral part of a health record, provides some challenges in applying data mining techniques. The present application involves episode history of monitoring services for elderly patients with diabetes. The application task was to examine patterns of monitoring services for patients. This was approached by clustering patients into groups receiving similar patterns of care and visualising the features devised to highlight interesting patterns of care.