Applied machine learning (ML) has not yet coalesced on standard practices for research
ethics. For ML that predicts mental illness using social media data, ambiguous ethical …

The rise of concern around Natural Language Processing (NLP) technologies containing
and perpetuating social biases has led to a rich and rapidly growing area of research …

Social media posts have been used to predict different user behaviors and attitudes,
including mental health condition, political affiliation, and vaccine hesitancy. Unfortunately …

Background Hospital readmission within 30 days of discharge is a well-studied outcome.
Predicting readmission after cardiac surgery, however, is notoriously challenging; the best …

Mental health stigma prevents many individuals from receiving the appropriate care, and
social psychology studies have shown that mental health tends to be overlooked in men. In …

Objective: We conducted a systematic review on the use of Artificial Intelligence (AI) in the
psychology domain within the context of social media's role on mental health. We identified …

The surge in internet use for expression of personal thoughts and beliefs has made it
increasingly feasible for the social Natural Language Processing (NLP) research community …

Observational causal inference (OCI) has shown significant promise in recent years, both as
a tool for improving existing machine learning techniques and as an avenue to aid decision …