Title :
Mining Association Rules for Neurobehavioral and Motor Disorders in Children Diagnosed with Cerebral Palsy
Author :
Chihwen Cheng ; Burns, Thomas G. ; Wang, May Dongmei
Author_Institution :
Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Children diagnosed with cerebral palsy (CP) appear to be at high risk for developing neurobehavioral and motor disorders. The most common disorders for these children are impaired visual-perception skills and motor planning. Besides, they often have impaired executive functions, which can contribute to problematic emotional adjustment such as depression. Additionally, literature suggests that the tendency to develop these cognitive impairments and emotional abnormalities in pediatric CP is influenced by age and IQ. Because there are many other medical co-morbidities that can occur with CP (e.g., seizures and shunt placement), prediction of what percentages of patients will incur cognitive impairment and emotional abnormality is a difficult task. The purpose of this study was to investigate the associations between possible factors mentioned above, and neurobehavioral and motor disorders from a clinical database of pediatric subjects diagnosed with CP. The study resulted in 22 rules that can predict negative outcomes. These rules reinforced the growing body of literature supporting a link between CP, executive dysfunction, and subsequent neurobehavioral problems. The antecedents and consequents of some association rules were single factors, while other statistical associations were interactions of factor combinations. Further research is needed to include children´s comprehensive treatment and medication history in order to determine additional impacts on their neurobehavioral and motor disorders.
Keywords :
cognition; data mining; medical disorders; medical information systems; neurophysiology; paediatrics; statistical analysis; visual perception; IQ; association rule mining; cerebral palsy; children comprehensive treatment and medication history; clinical pediatric database; cognitive impairments; emotional abnormalities; executive dysfunction; impaired children; impaired executive functions; medical comorbidities; motor disorders; neurobehavioral disorders; neurobehavioral problems; pediatric; problematic emotional adjustment; seizures; shunt placement; statistical associations; visual-perception skills; Association rules; History; Itemsets; Medical diagnostic imaging; Pediatrics; association rule mining; cerebral palsy; pediatric neurobehavioral disorder; pediatric psychiatric disorder;
Conference_Titel :
Healthcare Informatics (ICHI), 2013 IEEE International Conference on
Conference_Location :
Philadelphia, PA
DOI :
10.1109/ICHI.2013.24