{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T18:50:32Z","timestamp":1789498232625,"version":"build-2803163510"},"reference-count":30,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T00:00:00Z","timestamp":1698105600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Taipei University of Nursing and Health Sciences, Taipei, Taiwan","award":["104ntunhs-TR-01"],"award-info":[{"award-number":["104ntunhs-TR-01"]}]},{"name":"National Taipei University of Nursing and Health Sciences, Taipei, Taiwan","award":["NSC 101-2410-H-227-008"],"award-info":[{"award-number":["NSC 101-2410-H-227-008"]}]},{"name":"National Science Council of Taiwan","award":["104ntunhs-TR-01"],"award-info":[{"award-number":["104ntunhs-TR-01"]}]},{"name":"National Science Council of Taiwan","award":["NSC 101-2410-H-227-008"],"award-info":[{"award-number":["NSC 101-2410-H-227-008"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JPM"],"abstract":"<jats:p>An accurate and early diagnosis of attention deficit hyperactivity disorder can improve health outcomes and prevent unnecessary medical expenses. This study developed a diagnostic support model using a machine learning approach to effectively screen individuals for attention deficit hyperactivity disorder. Three models were developed: a logistic regression model, a classification and regression tree (CART), and a neural network. The models were assessed by using a receiver operating characteristic analysis. In total, 74 participants were enrolled into the disorder group, while 21 participants were enrolled in the control group. The sensitivity and specificity of each model, indicating the rate of true positive and true negative results, respectively, were assessed. The CART model demonstrated a superior performance compared to the other two models, with region values of receiver operating characteristic analyses in the following order: CART (0.848) &gt; logistic regression model (0.826) &gt; neural network (0.67). The sensitivity and specificity of the CART model were 78.8% and 50%, respectively. This model can be applied to other neuroscience research fields, including the diagnoses of autism spectrum disorder, Tourette syndrome, and dementia. This will enhance the effect and practical value of our research.<\/jats:p>","DOI":"10.3390\/jpm13111525","type":"journal-article","created":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T06:28:25Z","timestamp":1698128905000},"page":"1525","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Validity of Diagnostic Support Model for Attention Deficit Hyperactivity Disorder: A Machine Learning Approach"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5390-516X","authenticated-orcid":false,"given":"Kuo-Chung","family":"Chu","sequence":"first","affiliation":[{"name":"Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei 112, Taiwan"},{"name":"Department of Education and Research, Taipei City Hospital, Taipei 103, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hsin-Jou","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei 112, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4015-5942","authenticated-orcid":false,"given":"Yu-Shu","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Child Psychiatry and Sleep Center, Chang Gung Memorial Hospital at Linkou, Taoyuan City 333, Taiwan"},{"name":"College of Medicine, Chang Gung University, Taoyuan 333, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1058","DOI":"10.1177\/1087054719886372","article-title":"Prevalence of ADHD and Its Comorbidities in a Population-Based Sample","volume":"25","author":"Mohammadi","year":"2021","journal-title":"J. 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