Predicting Substance Use Disorder in ADHD Patients using Long-Short Term Memory Model

Sajjad Fouladvand, Emily R. Hankosky, Darren W. Henderson, Heather Bush, Jin Chen, Linda P. Dwoskin, Patricia R. Freeman, Kathleen Kantak, Jeffery Talbert, Shiqiang Tao, Guo Qiang Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

About 20% of individuals with attention deficit hyperactivity disorder (ADHD) are first diagnosed during adolescence. While preclinical experiments suggest that adolescent-onset exposure to ADHD medication is an important factor in the development of substance use disorder (SUD) phenotypes in adulthood, the long-Term impact of ADHD medication initiated during adolescence has been largely unexplored in humans. Our analysis of 11,624 adolescent ADHD patients in the Truven database indicates that temporal medication features are the important factors on the health consequences related to SUD and ADHD medication initiation during adolescence.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018
Pages49-50
Number of pages2
ISBN (Electronic)9781538667774
DOIs
StatePublished - Jul 16 2018
Event6th IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018 - New York, United States
Duration: Jun 4 2018Jun 7 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018

Conference

Conference6th IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018
Country/TerritoryUnited States
CityNew York
Period6/4/186/7/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Attention Deficit-Hyperactivity Disorder
  • Big Data
  • Long-Short Term Memory Model
  • Substance Use Disorder

ASJC Scopus subject areas

  • Information Systems and Management
  • Health Informatics

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