Health AI Central
Peer-Reviewed Publication
JMIR Med Inform2025;13e54133.January 22, 2025Journal Article

Robust Automated Harmonization of Heterogeneous Data Through Ensemble Machine Learning: Algorithm Development and Validation Study.

Doris Yang1, Doudou Zhou2, Steven Cai3, Ziming Gan4, Michael Pencina5, Paul Avillach1, Tianxi Cai1, Chuan Hong5
1Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
2Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore.
3Department of Computer Science, Rensselaer Polytechnic Institute, Rochester, NY, United States.
4Department of Statistics, University of Chicago, Chicago, IL, United States.
5Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, United States.
PubMed PMC DOI PDF

Abstract

BACKGROUND: Cohort studies contain rich clinical data across large and diverse patient populations and are a common source of observational data for clinical research. Because large scale cohort studies are both time and resource intensive, one alternative is to harmonize data from existing cohorts through multicohort studies. However, given differences in variable encoding, accurate variable harm…

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