This paper is in the following e-collection/theme issue:

Depression and Mood Disorders; Suicide Prevention (1363) Machine Learning (49) Natural Language Processing (692) Intentional Self-Harm (96) Artificial Intelligence (86)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53730, first published .
Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: Observational Study Using Natural Language Processing Analysis

Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: Observational Study Using Natural Language Processing Analysis

Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: Observational Study Using Natural Language Processing Analysis

Authors of this article:

Sudeshna Das1 Author Orcid Image ;   Drew Walker2 Author Orcid Image ;   Swati Rajwal3 Author Orcid Image ;   Sahithi Lakamana1 Author Orcid Image ;   Steven A Sumner4 Author Orcid Image ;   Karin A Mack4 Author Orcid Image ;   Wojciech Kaczkowski4 Author Orcid Image ;   Abeed Sarker1, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Nogar J, Batista-Minaya S. Suicide and the Epidemiology of a Toxin That Kills Quickly—Data Sharing Between Public Health Agencies. JAMA Network Open 2024;7(9):e2434126 View