Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data

Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data

Abstract Background Pooling data from different sources will advance mental health research by providing larger sample sizes and allowing cross-study comparisons; however, the heterogeneity in how variables are measured across studies poses a challenge to this process. Methods This study explored th...

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Bibliographic Details
Main Authors: Eoin McElroy, Thomas Wood, Raymond Bond, Maurice Mulvenna, Mark Shevlin, George B. Ploubidis, Mauricio Scopel Hoffmann, Bettina Moltrecht
Format: Article
Language:English
Published: BMC 2024-07-01
Series:BMC Psychiatry
Subjects:
Retrospective data harmonisation
Harmonisation
Meta-analysis
Data pooling
Online Access:https://doi.org/10.1186/s12888-024-05954-2

Internet

https://doi.org/10.1186/s12888-024-05954-2

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