Published on in Vol 5 (2024)

Preprints (earlier versions) of this paper are available at https://arxiv.org/abs/2304.10512v1, first published .
Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study

Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study

Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study

Journals

  1. . Peer Review of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”. JMIRx Med 2024;5:e58321 View
  2. Subramaniyan V. Peer Review of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”. JMIRx Med 2024;5:e58317 View
  3. Lokala U, Phukan O, Dastidar T, Lamy F, Daniulaityte R, Sheth A. Authors’ Response to Peer Reviews of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”. JMIRx Med 2024;5:e57838 View
  4. . Peer Review of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”. JMIRx Med 2024;5:e58320 View
  5. Choi G, Pyun M, Yoon S, Kim Y, Shin H, Lee S. Exploring the relationship between YouTube video characteristics and a viewer’s mental health traits among young adults. Frontiers in Psychiatry 2024;15 View
  6. Sacco M, Gualtieri S, Tarallo A, Tarda L, Verrina M, Costa A, Aquila I. A Review of the Literature on Episodes of Acute Fentanyl Intoxication in Pediatric Age and Toxicological Applications. Toxics 2024;12(8):534 View