Language
English
Publication Date
11-6-2024
Journal
npj Mental Health Research
DOI
10.1038/s44184-024-00087-6
PMID
39506139
PMCID
PMC11541747
PubMedCentral® Posted Date
11-6-2024
PubMedCentral® Full Text Version
Post-print
Abstract
Suicide is a complex phenomenon that is often not preceded by a diagnosed mental health condition, therefore making it difficult to study and mitigate. Artificial Intelligence has increasingly been used to better understand Social Determinants of Health factors that influence suicide outcomes. In this review we find that many studies use limited SDoH information and minority groups are often underrepresented, thereby omitting important factors that could influence risk of suicide.
Keywords
Risk factors, Predictive medicine, Computational models, Psychology, Human behaviour
Published Open-Access
yes
Recommended Citation
Sia Shah, Benjamin Irving, and Clifford C Dacso, "Automatically Extracting Social Determinants of Health for Suicide: A Narrative Literature Review" (2024). Faculty, Staff and Students Publications. 1951.
https://digitalcommons.library.tmc.edu/baylor_docs/1951