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首页> 外文期刊>Iranian journal of public health. >Comorbidity Study of Attention-deficit Hyperactivity Disorder (ADHD) in Children: Applying Association Rule Mining (ARM) to Korean National Health Insurance Data
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Comorbidity Study of Attention-deficit Hyperactivity Disorder (ADHD) in Children: Applying Association Rule Mining (ARM) to Korean National Health Insurance Data

机译：儿童注意缺陷多动障碍（ADHD）的合并症研究：将关联规则挖掘（ARM）应用于韩国国民健康保险数据

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Background: The aim of this study was to explore the comorbidity of Attention-Deficit Hyperactivity Disorder (ADHD) for the Korean national health insurance data (NHID) by using association rule mining (ARM).Methods: We used data categorized mental disorder according to the international classification of disease, 10th revision (ICD-10) diagnosis system from NHID from 2011 to 2013 in youths aged 18 yr or younger. Overall, 211420 subjects, comorbid cases with ADHD were present in 105784. ARM was applied to the Apriori algorithm to examine the strengths of associations among those diagnosed, and logistic regression was used to evaluate the relations among rules.Results: The most prevalent comorbid psychiatric disorder of ADHD youths was mood/affective disorders. From results of ARM, nine association rules (support≥1%, confidnce≥50%) were produced. The highest association was found between specific developmental disorders of scholastic skills and ADHD. Among association of three comorbid diseases, tic disorder was an important role in the association between ADHD and other comorbid diseases through results of ARM and logistic regression.Conclusion: The practical application of ARM for discovering the comorbidity of ADHD in large amount real-data such as the Korean NHID was mostly confirmed by past studies. The results of this study will be helpful to researchers evaluating the stability of their diagnosis in ADHD.
机译：背景：本研究旨在通过关联规则挖掘（ARM）探索韩国国民健康保险数据（NHID）的注意力缺陷多动障碍（ADHD）合并症。 NHID于2011年至2013年对18岁以下的年轻人进行了国际疾病分类（第十次修订，ICD-10）诊断系统。总体上，共有105,784名211420名患有ADHD的合并症患者。将ARM应用于Apriori算法以检查被诊断者之间的关联强度，并使用logistic回归评估规则之间的关系。结果：最常见的合并症患者多动症青少年的情绪障碍是情绪/情感障碍。根据ARM的结果，生成了九种关联规则（支持率≥1％，信心≥50％）。在特定的学业技能发展障碍与多动症之间发现最高的关联。在三种合并症的关联中，抽动症是通过ARM和logistic回归分析在多动症与其他合并症之间的重要关系。结论：ARM在大量真实数据中发现ADHD合并症的实际应用因为韩国的NHID大多已被过去的研究证实。这项研究的结果将有助于研究人员评估其在多动症诊断中的稳定性。

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