PheCode-guided multi-modal topic modeling of electronic health records improves disease incidence prediction and GWAS discovery from UK Biobank.
- DOI
- 10.1093/bib/bbag030
- Published
- 2026 Jan 7
- Container
- Briefings in bioinformatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1093/bib/bbag030,
title = {PheCode-guided multi-modal topic modeling of electronic health records improves disease incidence prediction and GWAS discovery from UK Biobank.},
author = {Yang Z and Song Z and Zabad S and Legault MA and Li Y},
year = {2026},
journal = {Briefings in bioinformatics},
doi = {10.1093/bib/bbag030},
url = {https://doi.org/10.1093/bib/bbag030}
}RIS
TY - JOUR TI - PheCode-guided multi-modal topic modeling of electronic health records improves disease incidence prediction and GWAS discovery from UK Biobank. AU - Yang Z AU - Song Z AU - Zabad S AU - Legault MA AU - Li Y PY - 2026 JO - Briefings in bioinformatics DO - 10.1093/bib/bbag030 UR - https://doi.org/10.1093/bib/bbag030 ER -
APA
Z, Y., Z, S., S, Z., MA, L., & Y, L. (2026). PheCode-guided multi-modal topic modeling of electronic health records improves disease incidence prediction and GWAS discovery from UK Biobank.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbag030
Source records
- pubmed · retrieved 2026-09-26T11:13:41.065Z