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dc.contributor.authorFouladvand, Sajjaden_US
dc.contributor.authorHankosky, Emily R.en_US
dc.contributor.authorHenderson, Darren W.en_US
dc.contributor.authorBush, Heather M.en_US
dc.contributor.authorChen, Jinen_US
dc.contributor.authorDwoskin, Linda P.en_US
dc.contributor.authorFreeman, Patricia R.en_US
dc.contributor.authorKantak, Kathleen M.en_US
dc.contributor.authorTalbert, Jeffery, C.en_US
dc.contributor.authorTao, Shiqiangen_US
dc.contributor.authorZhang, Guo- Qiangen_US
dc.date2019-01-04
dc.date.accessioned2020-03-27T18:25:49Z
dc.date.issued2019-05-19
dc.identifier.citationS. Fouladvand, E.R. Hankosky, D. Henderson, H.M. Bush, J. Chen, L.P. Dwoskin, P.R. Freeman, K.M. Kantak, J.C. Talbert, S. Tao, G.Q. Zhang. 2019. "Predicting Substance Use Disorder using Long-term ADHD Medication Records in Truven." Health Informatics Journal,
dc.identifier.issn1460-4582
dc.identifier.urihttps://hdl.handle.net/2144/39855
dc.description.abstractAbout 20% of individuals with attention deficit hyperactivity disorder are first diagnosed during adolescence. While preclinical experiments suggest that adolescent-onset exposure to attention deficit hyperactivity disorder medication is an important factor in the development of substance use disorder phenotypes in adulthood, the long-term impact of attention deficit hyperactivity disorder medication initiated during adolescence has been largely unexplored in humans. Our analysis of 11,624 adolescent enrollees with attention deficit hyperactivity disorder in the Truven database indicates that temporal medication features, rather than stationary features, are the most important factors on the health consequences related to substance use disorder and attention deficit hyperactivity disorder medication initiation during adolescence.en_US
dc.language.isoen_US
dc.publisherSAGE Publicationsen_US
dc.relation.ispartofHealth Informatics Journal
dc.rightsAttribution-NonCommercial 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.source.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectMedical informaticsen_US
dc.subjectInformation systemsen_US
dc.subjectLibrary and information studiesen_US
dc.subjectAttention deficit hyperactivity disorderen_US
dc.subjectBig dataen_US
dc.subjectDeep learningen_US
dc.subjectLong-short term memory modelen_US
dc.subjectSubstance use disorderen_US
dc.titlePredicting substance use disorder using long-term ADHD medication records in Truvenen_US
dc.typeArticleen_US
dc.description.versionPublished versionen_US
dc.identifier.doi10.1177/1460458219844075
dc.description.embargo2020-09-17
pubs.elements-sourcemanual-entryen_US
pubs.notesEmbargo: 12 monthsen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Psychological & Brain Sciencesen_US
pubs.publication-statusPublisheden_US
dc.identifier.orcid0000-0003-1866-9485 (Kantak, KM)
dc.identifier.mycv423900


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Attribution-NonCommercial 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International