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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Principais autores:	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
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Nature Portfolio 2025-03-01
סדרה:	Scientific Reports
נושאים:	Data harmonization Metacognitive treatment Personalized medicine Machine learning Exploratory data analysis Mental health
גישה מקוונת:	https://doi.org/10.1038/s41598-025-94815-3
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!