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Chinese researchers have developed an AI model that uses brain scan data to predict the risk of depression up to four years in advance, potentially enabling earlier interventions.
This paper proposes a hybrid predictive model combining ensemble feature selection (ANOVA and mutual information) with Harris Hawks optimization-tuned logistic regression for explainable mental health risk prediction in female sex workers, achieving 95.78% accuracy.