Work

Predictive assessment of eating disorder risk and recovery: Uncovering the effectiveness of questionnaires and influencing characteristics

Year: 2025

Type: article

Abstract: This study aims to assess the predictive capabilities of various questionnaires in determining the risk of Eating Disorders (ED) and predicting the level of recovery among individuals. Employing machine learning models and diverse datasets, the research focuses on understanding the effectiveness of different questionnaires in providing insights into ED symptoms and recovery outcomes. Additionally, the study seeks to identify the characteristics that significantly influence the recovery process. The investigation aims to contribute valuable information to enhance the diagnostic and monitoring tools used in the field of mental health, particularly concerning ED.

Source: Computational and Structural Biotechnology Journal

DOI: 10.1016/j.csbj.2025.03.048

Authors: A. Pikatza-Huerga, C. Las Hayas, U. Zulaika, A. Almeida

Institution: Universidad de Deusto

Language: English

Topic: Eating Disorders and Behaviors

Subfield: Clinical Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,230