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 language||English (US)|
|Number of pages||6|
|Journal||Proceedings of the IEEE Symposium on Computer-Based Medical Systems|
|State||Published - Jan 1 2001|
|Event||14th IEEE Symposium on Computer-Based Medical Systems - Bethesda, MD, United States|
Duration: Jul 26 2001 → Jul 27 2001