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Inferring multimodal latent topics from electronic health records
- Source :
- Nature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
- Publication Year :
- 2020
- Publisher :
- Nature Portfolio, 2020.
-
Abstract
- Electronic Health Records (EHR) are subject to noise, biases and missing data. Here, the authors present MixEHR, a multi-view Bayesian framework related to collaborative filtering and latent topic models for EHR data integration and modeling.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 11
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.f93fdf7cc75646b5afb46727b4bdaa9e
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-020-16378-3