Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54133, first published .
Robust Automated Harmonization of Heterogeneous Data Through Ensemble Machine Learning: Algorithm Development and Validation Study

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

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

Doris Yang   1 ;   Doudou Zhou   2 , PhD ;   Steven Cai   3 ;   Ziming Gan   4 , PhD ;   Michael Pencina   5 , PhD ;   Paul Avillach   1 , MD, PhD ;   Tianxi Cai   1 * , SCD ;   Chuan Hong   5 * , PhD

1 Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States

2 Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore

3 Department of Computer Science, Rensselaer Polytechnic Institute, Rochester, NY, United States

4 Department of Statistics, University of Chicago, Chicago, IL, United States

5 Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, United States

*these authors contributed equally

Corresponding Author:

  • Chuan Hong, PhD
  • Department of Biostatistics & Bioinformatics
  • Duke University
  • 2424 Erwin Rd, Room 9022
  • Durham, NC, 27710
  • United States
  • Phone: 1 9035269514
  • Email: chuan.hong@duke.edu