Abstract:
BACKGROUND AND OBJECTIVES:The purpose of this study is to examine the reliability of the clinical use of the self-built decision support system, diagnosis-supported attention deficit hyperactivity disorder (DS-ADHD), in an effort to develop the DS-ADHD system, by probing into the development of indicating patterns of past screening support systems for ADHD. METHODS:The study collected data based on 107 subjects, who were divided into two groups, non-ADHD and ADHD, based on the doctor's determination, using the DSM-IV diagnostic standards. The two groups then underwent Test of Variables of Attention (TOVA) and DS-ADHD testing. The survey and testing results underwent one-way ANOVA and split-half method statistical analysis, in order to further understand whether there were any differences between the DS-ADHD and the identification tools used in today's clinical trials. RESULTS:The results of the study are as follows: 1) The ROC area between the TOVA and the clinical identification rate is 0.787 (95% confidence interval: 0.701-0.872); 2) The ROC area between the DS-ADHD and the clinical identification rate is 0.867 (95% confidence interval: 0.801-0.933). CONCLUSIONS:The study results show that DS-ADHD has the characteristics of screening for ADHD, based on its reliability and validity. It does not display any statistical differences when compared with TOVA systems that are currently on the market. However, the system is more effective and the accuracy rate is better than TOVA. It is a good tool to screen ADHD not only in Chinese children, but also in western country.
journal_name
Comput Methods Programs Biomedjournal_title
Computer methods and programs in biomedicineauthors
Chu KC,Huang YS,Tseng CF,Huang HJ,Wang CH,Tai HYdoi
10.1016/j.cmpb.2016.12.003subject
Has Abstractpub_date
2017-03-01 00:00:00pages
241-248eissn
0169-2607issn
1872-7565pii
S0169-2607(16)30295-4journal_volume
140pub_type
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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pub_type: 杂志文章,评审
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