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Topic: Perceived Stress Scale – PSS

ePoster
1 ePoster

In Neuroscience

Machine learning for individual multivariate fingerprints as predictors of mental well-being in young adults

Andrea Caporali, Alberto Di Domenico, Claudio D'Addario, Francesco de Pasquale · FENS Forum 2024

The crisis in youth mental health has intensified, especially after the COVID-19 pandemic. Traditional assessment tools like the Highly Sensitive Person – HSP index (1) and the Perceived Stress Scale – PSS (2) provide valuable insights but may overlook the multifaceted nature of mental health. Thus, incorporating molecular biomarkers becomes crucial to unravel the interplay of genetic, environmental, and psychological factors. In this work, we combined neuropsychological and epigenetic data in a machine learning algorithm to predict HSP scores in university students and to provide individualis

ePoster · Neuroscience