Data harmonization for the analysis of personalized treatment of psychosis with metacognitive training

Data harmonization for the analysis of personalized treatment of psychosis with metacognitive training

Abstract Personalized medicine is a data-driven approach that aims to adapt patients’ diagnostics and therapies to their characteristics and needs. The availability of patients’ data is therefore paramount for the personalization of treatments on the basis of predictive models, and even more so in m...

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Main Authors: Caroline König, Pedro Copado, Maria Lamarca, Wafaa Guendouz, Rabea Fischer, Merle Schlechte, Vanessa Acuña, Fabrice Berna, Łucasz Gawęda, Alfredo Vellido, Àngela Nebot, Cecilio Angulo, Susana Ochoa
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Data harmonization
Metacognitive treatment
Personalized medicine
Machine learning
Exploratory data analysis
Mental health
Online Access:https://doi.org/10.1038/s41598-025-94815-3
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https://doi.org/10.1038/s41598-025-94815-3

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