Published on in Vol 8, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24938, first published .
Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study

Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study

Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study

Journals

  1. Lamy F, Daniulaityte R, Dudley S. “Pressed OXY M30 Pills, Great Press, Potent, Fast Shipping!!!”: Availability of Counterfeit and Pharmaceutical Oxycodone Pills on One Major Cryptomarket. Journal of Psychoactive Drugs 2024;56(1):1 View
  2. Severson M, Onanong S, Dolezal A, Bartelt-Hunt S, Snow D, McFadden L. Analysis of Wastewater Samples to Explore Community Substance Use in the United States: Pilot Correlative and Machine Learning Study. JMIR Formative Research 2023;7:e45353 View
  3. Sanabria-Z J, Castillo-Martínez I, González-Pérez L, Ramírez-Montoya M. Complex thinking through a Transition Design-guided Ideathon: testing an AI platform on the topic of sharing economy. Frontiers in Education 2023;8 View
  4. Settle J, Smith A, Rausch P, RW R. A social media analysis of kratom use to discontinue stimulants. Journal of Addictive Diseases 2024;42(4):508 View
  5. Lokala U, Phukan O, Dastidar T, Lamy F, Daniulaityte R, Sheth A. Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study. JMIRx Med 2024;5:e48519 View
  6. Almeida A, Patton T, Conway M, Gupta A, Strathdee S, Bórquez A. The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review. JMIR Infodemiology 2024;4:e51156 View
  7. Holbrook E, Wiskur B, Nagykaldi Z. Discovering opioid slang on social media: A Word2Vec approach with reddit data. Drug and Alcohol Dependence Reports 2024;13:100302 View
  8. Nguyen Thi Kim L, Nguyen Hoang S, Nguyen H. Interweaving academic insights: advancing university knowledge management through a strategic data fabric framework. Digital Library Perspectives 2025;41(1):21 View
  9. Wang Q, Yang F, Quan L, Fu M, Yang Z, Wang J. Knowledge graph and its application in the study of neurological and mental disorders. Frontiers in Psychiatry 2025;16 View
  10. Wu D, An J, Nan S, She Y, Duan H, Deng N. A knowledge-based clinical decision support system for personalized health examination items in China: design and evaluation. BMC Medical Informatics and Decision Making 2025;25(1) View
  11. Li S, Erickson C, Zajac M, Guo X, Duan Q, Gong J. A Semi-Automated Framework for Flood Ontology Construction with an Application in Risk Communication. Water 2025;17(19):2801 View

Books/Policy Documents

  1. Rigatti M, Carreiro S, Boyer E. Artificial Intelligence in Clinical Practice. View
  2. Durnyak B, Senkivskyy V, Pikh I, Kudriashova A. Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1. View
  3. Tiwari S, Kejriwal M, Mihindukulasooriya N. The Semantic Web: ESWC 2025 Satellite Events. View

Conference Proceedings

  1. Samasutthi P, Anutariya C. 2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE). CannabisO: The Ontology-based Knowledge Model for Safe Cannabis Consumption in Thailand View
  2. Khandelwal V, Gaur M, Kursuncu U, Shalin V, Sheth A. 2024 IEEE International Conference on Big Data (BigData). A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19 View