Machine Learning Applications in Mental Health and Substance Use Research Among the LGBTQ2S+ Population: Scoping Review.

Anasua Kundu Michael O Chaiton Rebecca Billington Daniel Grace Rui Fu Carmen Helen Logie Neill Bruce Baskerville Christina Yager Nicholas Mitsakakis Robert Schwartz

Published in: JMIR medical informatics (2021)

ML is a promising tool for capturing and analyzing hidden data on mental health and substance use concerns among the LGBTQ2S+ population. In addition to conducting more research on sexual minority women, different mental health and substance use problems, as well as outcomes and future research should explore newer environments, data sources, and intersections with various social determinants of health.

Keyphrases

mental health
machine learning
mental illness
big data
electronic health record
polycystic ovary syndrome
healthcare
public health
drinking water
type diabetes
pregnant women
pregnancy outcomes
insulin resistance
metabolic syndrome
weight loss
social media
human health