An Interpretable Machine Learning Approach to Predict Sensory Processing Sensitivity Trait in Nursing Students

An Interpretable Machine Learning Approach to Predict Sensory Processing Sensitivity Trait in Nursing Students

Sensory processing sensitivity (SPS) is a personality trait that makes certain individuals excessively sensitive to stimuli. People carrying this trait are defined as Highly Sensitive People (HSP). The SPS trait is notably prevalent among nursing students and nurse staff. Although there are HSP diag...

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Bibliografiske detaljer
Main Authors: Alicia Ponce-Valencia, Diana Jiménez-Rodríguez, Juan José Hernández Morante, Carlos Martínez Cortés, Horacio Pérez-Sánchez, Paloma Echevarría Pérez
Format: Article
Sprog:English
Udgivet: MDPI AG 2024-04-01
Serier:European Journal of Investigation in Health, Psychology and Education
Fag:
sensory processing sensitivity
emotional intelligence
conflict resolution
communication skills
nursing
interpretable machine learning
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