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

Author

Freeman, Rachel L. ; Grzymala-Busse, Jerzy W. ; Riffel, Laura A. ; Schroeder, Stephen R.

Author_Institution

Bur. of Child Res., Kansas Univ., Lawrence, KS, USA

fYear

2001

fDate

2001

Firstpage

11

Lastpage

16

Abstract

The relation between physiological events, environmental factors and the occurrence of problem behavior in natural settings was analyzed using the data mining system LERS (Learning from Examples based on Rough Sets). Heart-rate data 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

Keywords

behavioural sciences computing; cardiology; data mining; environmental factors; learning by example; medical expert systems; physiology; rough set theory; LERS data mining system; Learning from Examples based on Rough Sets; environmental events; environmental factors; heart rate; large data sets; mentally retarded adult; physiological events; problem behavior; severe mental retardation; videotapes; Belts; Computer science; Data analysis; Data mining; Environmental factors; Heart rate; Pediatrics; Problem-solving; Rough sets; Transmitters;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 2001. CBMS 2001. Proceedings. 14th IEEE Symposium on

Conference_Location

Bethesda, MD

ISSN

1063-7125

Print_ISBN

0-7695-1004-3

Type

conf

DOI

10.1109/CBMS.2001.941690

Filename

941690