Early Risk Prediction of Mental Health Disorders
Part 1. The eRisk initiative
The Challenge of Early Risk Prediction on the Internet
A Survey of the First Five Years of eRisk: Findings and Conclusions
Part 2. The best of eRisk
From Bag-of-Words to Transformers: A Deep Dive into the Participation in the eRisk Early Risk Detection of Depression Tasks with Classical and New Approaches
Comparison of Machine Learning Models for Early Depression Detection from Users' Posts
Quick and (Maybe Not So) Easy Detection of Anorexia in Social Media: To Explainability and Beyond
Two Simple and Domain-independent Approaches for Early Detection of Anorexia
Early Risk Detection of Self-Harm Using BERT-Based Transformers
Detecting Traces of Self-harm on Reddit Through Emotional Patterns
On the Estimation of Depression Through Social Mining
Automatically Estimating the Severity of Multiple Symptoms Associated with Depression
Part 3. Beyond eRisk
Beyond Risk: Individual Mental Health Trajectories from Large-Scale Social Media Data
Explainability of Depression Detection on Social Media: From Deep Learning Models to Psychological Interpretations and Multimodality
Part 4. The future
The future of eRisk.