Advanced Techniques for Predicting Mental Health Risks in Female Sex Workers

A recent study highlights the mental health challenges, particularly depression, faced by female sex workers. The research aims to address these issues through advanced predictive modeling techniques.

The study employs ensemble feature selection and Harris Hawks optimization methods to improve the accuracy and explainability of mental health risk predictions.

By focusing on the unique circumstances of female sex workers, the research seeks to contribute valuable insights into mental health risk assessment and intervention strategies.