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

Proceedings of the IEEE Symposium on Computer-Based Medical Systems

Volumn , Issue , 2001, Pages 11-16

  Freeman, R L ^a   Grzymala Busse, J W ^a   Riffel, L A ^a   Schroeder, S R ^a  

^a UNIVERSITY OF KANSAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; COMPUTER AIDED DIAGNOSIS; DIAGNOSIS; HEALTH CARE; MEDICAL PROBLEMS; PHYSIOLOGY; PROBLEM SOLVING; ROUGH SET THEORY;

LEARNING FROM EXAMPLES BASED ON ROUGH SETS (LERS);

DATA MINING;

EID: 0034871155     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Classifier systems and genetic algorithms
2. Brief functional assessment techniques to evaluate aberrant behavior in an outpatient setting: A summary of 79 cases
3. From data mining to knowledge discovery: An overview
4. The relation between physiological arousal and problem behavior
5. LERS - A system for learning from examples based on rough sets
6. A new version of the rule induction system LERS
7. Emergence and maintenance of stereotypy and self-injury
8. Toward a functional analysis of self-injury
9. A theory and methodology of inductive learning
10. Rough sets
11. Psychopharmacology and steady-state behavior
12. Overview of the functional behavioral assessment process
13. Treatment of self-injury and hand mouthing following inconclusive functional analyses