Clinical and temporal characterization of COVID-19 subgroups using patient vector embeddings of electronic health records

Ta, C. N., Zucker, J. E., Chiu, P.-H., Fang, Y., Natarajan, K., & Weng, C. (2022). Clinical and temporal characterization of COVID-19 subgroups using patient vector embeddings of electronic health records. Journal of the American Medical Informatics Association, 30(2), 256–272. https://doi.org/10.1093/jamia/ocac208
Authors:
Casey N Ta
Jason E Zucker
Po-Hsiang Chiu
Yilu Fang
Karthik Natarajan
Chunhua Weng
Affiliated Authors:
Casey N Ta
Jason E Zucker
Po-Hsiang Chiu
Yilu Fang
Karthik Natarajan
Chunhua Weng
Columbia Affiliation:
Subjects:
COVID-19 (MeSH)
Cardiovascular Diseases (MeSH)
Author Keywords:
covid-19
sars-cov-2
cluster analysis
unsupervised machine learning
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Publication Type:
Article
Unique ID:
10.1093/jamia/ocac208
PMID:
36255273
DOI:
10.1093/jamia/ocac208
Journal:
Journal of the American Medical Informatics Association
Publication Date:
Data Source:
PubMed
Source Link:
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Record Created: