Literature DB >> 28393145

Mining Association Rules for Neurobehavioral and Motor Disorders in Children Diagnosed with Cerebral Palsy.

Chihwen Cheng1, T G Burns2, May D Wang3.   

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.

Entities:  

Keywords:  cerebral palsy; pediatric neurobehavioral disorder; pediatric psychiatric disorder; rule association mining

Year:  2013        PMID: 28393145      PMCID: PMC5382960          DOI: 10.1109/ICHI.2013.24

Source DB:  PubMed          Journal:  IEEE Int Conf Healthc Inform        ISSN: 2575-2626


  7 in total

1.  Temporal data mining for the quality assessment of hemodialysis services.

Authors:  Riccardo Bellazzi; Cristiana Larizza; Paolo Magni; Roberto Bellazzi
Journal:  Artif Intell Med       Date:  2005-05       Impact factor: 5.326

2.  Mining statistically significant associations for exploratory analysis of human sleep data.

Authors:  Parameshvyas Laxminarayan; Sergio A Alvarez; Carolina Ruiz; Majaz Moonis
Journal:  IEEE Trans Inf Technol Biomed       Date:  2006-07

Review 3.  Cerebral palsy: an overview.

Authors:  Karen W Krigger
Journal:  Am Fam Physician       Date:  2006-01-01       Impact factor: 3.292

4.  Neuroimpairments, activity limitations, and participation restrictions in children with cerebral palsy.

Authors:  Eva Beckung; Gudrun Hagberg
Journal:  Dev Med Child Neurol       Date:  2002-05       Impact factor: 5.449

5.  Efficient mining of association rules for the early diagnosis of Alzheimer's disease.

Authors:  R Chaves; J M Górriz; J Ramírez; I A Illán; D Salas-Gonzalez; M Gómez-Río
Journal:  Phys Med Biol       Date:  2011-08-26       Impact factor: 3.609

6.  Congenital anomalies in children with cerebral palsy: a population-based record linkage study.

Authors:  Judith Rankin; Christine Cans; Ester Garne; Allan Colver; Helen Dolk; Peter Uldall; Emmanuelle Amar; Ingeborge Krageloh-Mann
Journal:  Dev Med Child Neurol       Date:  2009-09-08       Impact factor: 5.449

7.  Lasting effects of preterm birth and neonatal brain hemorrhage at 12 years of age.

Authors:  Thuy Mai Luu; Laura R Ment; Karen C Schneider; Karol H Katz; Walter C Allan; Betty R Vohr
Journal:  Pediatrics       Date:  2009-03       Impact factor: 7.124

  7 in total
  2 in total

Review 1.  A Review of Emerging Technologies for the Management of Diabetes Mellitus.

Authors:  Konstantia Zarkogianni; Eleni Litsa; Konstantinos Mitsis; Po-Yen Wu; Chanchala D Kaddi; Chih-Wen Cheng; May D Wang; Konstantina S Nikita
Journal:  IEEE Trans Biomed Eng       Date:  2015-08-19       Impact factor: 4.538

2.  Ten-year follow-up study found that motor-free intelligence quotient declined in children with mild-to-moderate cerebral palsy.

Authors:  Monika Coceski; Robyn Stargatt; Sarah Sherwell; Hisham M Abu-Rayya; Susan M Reid; Dinah S Reddihough; Jacquie Wrennall; Darren R Hocking
Journal:  Acta Paediatr       Date:  2022-07-08       Impact factor: 4.056

  2 in total

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