@inproceedings{5ee4532bcff34cfab62ebb8f74e018f9,
title = "Mining temporal patterns from health care data",
abstract = "This paper describes temporal data mining techniques for extracting information from temporal health records consisting of a time series of elderly diabetic patients' tests.We propose a data mining procedure to analyse these time sequences in three steps to identify patterns from any longitudinal data set. The first step is a structure-based search using wavelets to find pattern structures. The second step employs a value-based search over the discovered patterns using the statistical distribution of data values. The third step combines the results from the first two steps to form a hybrid model. The hybrid model has the expressive power of both wavelet analysis and the statistical distribution of the values. Global patterns are therefore identified.",
author = "Weiqiang Lin and Orgun, {Mehmet A.} and Williams, {Graham J.}",
year = "2002",
language = "English",
isbn = "3540441239",
volume = "2454 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Springer Nature",
pages = "222--231",
editor = "Y. Kambayashi and W. Winiwarter and M. Arikawa",
booktitle = "Data Warehousing and Knowledge Discovery - 4th International Conference, DaWaK 2002, Proceedings",
address = "United States",
note = "4th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2002 ; Conference date: 04-09-2002 Through 06-09-2002",
}