Data harmonization for the analysis of personalized treatment of psychosis with metacognitive training
König, Caroline (Intelligent Data Science and Artificial Intelligence Research Center)
Copado-Mendez, Pedro Jesús (Intelligent Data Science and Artificial Intelligence Research Center)
Lamarca, Maria (Institut de Recerca Sant Joan de Déu)
Guendouz, Wafaa (Intelligent Data Science and Artificial Intelligence Research Center)
Fischer, Rabea (University Medical Center Hamburg-Eppendorf. Department of Psychiatry and Psychotherapy)
Schlechte, Merle (University Medical Center Hamburg-Eppendorf. Department of Psychiatry and Psychotherapy)
Acuña, Vanessa (Universidad de Valparaíso. Departamento de Psiquiatría)
Berna, Fabrice (University Hospital of Strasbourg)
Gawęda, Łukasz (Institute of Psychology (Polònia))
Vellido, Alfredo (Intelligent Data Science and Artificial Intelligence Research Center)
Nebot, Àngela (Intelligent Data Science and Artificial Intelligence Research Center)
Angulo, Cecilio (Intelligent Data Science and Artificial Intelligence Research Center)
Ochoa, Susana (Institut de Recerca Sant Joan de Déu)

Data:	2025
Descripció:	16 pàg.
Resum:	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 machine learning-based analyses. Data harmonization is an essential part of the process of data curation. This study presents research on data harmonization for the development of a harmonized retrospective database of patients in Metacognitive Training (MCT) treatment for psychotic disorders. This work is part of the European ERAPERMED 2022-292 research project entitled 'Towards a Personalized Medicine Approach to Psychological Treatment of Psychosis' (PERMEPSY), which focuses on the development of a personalized medicine platform for the treatment of psychosis. The study integrates information from 22 studies into a common format to enable a data analytical approach for personalized treatment. The harmonized database comprises information about 698 patients who underwent MCT and includes a wide range of sociodemographic variables and psychological indicators used to assess a patient's mental health state. The characteristics of patients participating in the study are analyzed using descriptive statistics and exploratory data analysis.
Ajuts:	Instituto de Salud Carlos III ERAPerMed2022-292
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Data harmonization ; Metacognitive treatment ; Personalized medicine ; Machine learning ; Exploratory data analysis ; Mental health ; Psychology ; Signs and symptoms ; Computational science ; Computer science ; Information technology ; Scientific data ; Software ; Statistics
Publicat a:	Scientific reports, Vol. 15 (March 2025) , art. e10159, ISSN 2045-2322

DOI: 10.1038/s41598-025-94815-3
PMID: 40128308

16 p, 2.2 MB

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