Analyzing the relation between heart rate, problem behavior, and environmental events using data mining system LERS

R. L. Freeman, J. W. Grzymala-Busse, L. A. Riffel, S. R. Schroeder

Research output: Contribution to journalConference article

8 Scopus citations

Abstract

The relation between physiological events, environmental factors, and the occurrence of problem behavior in natural settings was analyzed using data mining system LERS (Learning from Examples based on Rough Sets). Data on heart rate were linked to environmental and behavioral data coded from videotapes of one adult subject diagnosed with severe mental retardation and who engaged in problem behavior. The results of the analysis suggest that using data mining system LERS will be a valuable strategy for exploring large data sets that include heart rate, environmental, and behavioral measures.

Original languageEnglish (US)
Pages (from-to)11-16
Number of pages6
JournalProceedings of the IEEE Symposium on Computer-Based Medical Systems
StatePublished - Jan 1 2001
Event14th IEEE Symposium on Computer-Based Medical Systems - Bethesda, MD, United States
Duration: Jul 26 2001Jul 27 2001

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