Multi-view representation learning for tabular data integration using inter-feature relationships

Authors

Sandhya Tripathi, Washington University School of Medicine in St. Louis
Bradley A Fritz, Washington University School of Medicine in St. Louis
Mohamed Abdelhack, Centre for Addiction and Mental Health
Michael S Avidan, Washington University School of Medicine in St. Louis
Yixin Chen, Washington University in St. Louis
Christopher R King, Washington University School of Medicine in St. Louis

Journal

Journal of Biomedical Informatics

Publication Date

3-1-2024

Volume

151

First Page

104602

Document Type

Open Access Publication

DOI

10.1016/j.jbi.2024.104602

Rights and Permissions

Tripathi S, Fritz BA, Abdelhack M, Avidan MS, Chen Y, King CR. Multi-view representation learning for tabular data integration using inter-feature relationships. J Biomed Inform. 2024 Mar;151:104602. doi: 10.1016/j.jbi.2024.104602. © 2025 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/bync/4.0/).

Recommended Citation

Tripathi, Sandhya; Fritz, Bradley A; Abdelhack, Mohamed; Avidan, Michael S; Chen, Yixin; and King, Christopher R, "Multi-view representation learning for tabular data integration using inter-feature relationships." Journal of Biomedical Informatics. 151, 104602 (2024).
https://digitalcommons.wustl.edu/oa_4/5328

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.