Development and validation of a distributed representation model of Japanese high-dimensional administrative claims data for clinical epidemiology studies

Development and validation of a distributed representation model of Japanese high-dimensional administrative claims data for clinical epidemiology studies

Abstract Background Unmeasured confounders pose challenges when observational data are analysed in comparative effectiveness studies. Integrating high-dimensional administrative claims data may help adjust for unmeasured confounders. We determined whether distributed representations can compress hig...

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Bibliographic Details
Main Authors: Hiroki Matsui, Kiyohide Fushimi, Hideo Yasunaga
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Medical Research Methodology
Subjects:
Distributed representation
Word2vec
Administrative claims data
High-dimensional propensity score
Unmeasured confounder
Online Access:https://doi.org/10.1186/s12874-025-02549-7
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https://doi.org/10.1186/s12874-025-02549-7

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