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

Theme issue 2019: Semantics of Mental Health (5) Decision Support for Health Professionals (1185) Machine Learning (1465) Natural Language Processing (692) Depression and Mood Disorders; Suicide Prevention (1363) Diagnostic Tools in Mental Health (242) Intentional Self-Harm (96) Methods and New Tools in Mental Health Research (454)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17784, first published .
Identifying and Predicting Intentional Self-Harm in Electronic Health Record Clinical Notes: Deep Learning Approach

Identifying and Predicting Intentional Self-Harm in Electronic Health Record Clinical Notes: Deep Learning Approach

Identifying and Predicting Intentional Self-Harm in Electronic Health Record Clinical Notes: Deep Learning Approach

Authors of this article:

Jihad S Obeid1 Author Orcid Image ;   Jennifer Dahne1 Author Orcid Image ;   Sean Christensen1 Author Orcid Image ;   Samuel Howard1 Author Orcid Image ;   Tami Crawford1 Author Orcid Image ;   Lewis J Frey1 Author Orcid Image ;   Tracy Stecker1 Author Orcid Image ;   Brian E Bunnell2 Author Orcid Image
Article Authors Cited by (22) Tweetations (6) Metrics

Jihad S Obeid   1 , MD ;   Jennifer Dahne   1 , PhD ;   Sean Christensen   1 , MD ;   Samuel Howard   1 , MD ;   Tami Crawford   1 , PhD ;   Lewis J Frey   1 , PhD ;   Tracy Stecker   1 , PhD ;   Brian E Bunnell   2 , PhD

1 Medical University of South Carolina, Charleston, SC, United States

2 University of South Florida, Tampa, FL, United States

Corresponding Author:

  • Jihad S Obeid, MD
  • Medical University of South Carolina
  • 135 Cannon St. Suite 405 MSC200
  • Charleston, SC, 29425
  • United States
  • Phone: 1 8437920272
  • Email: jobeid@musc.edu