Clinical Phenotypic Spectrum of 4095 Individuals with Down Syndrome from Text Mining of Electronic Health Records

Havrilla, J. M., Zhao, M., Liu, C., Weng, C., Helbig, I., Bhoj, E., & Wang, K. (2021). Clinical Phenotypic Spectrum of 4095 Individuals with Down Syndrome from Text Mining of Electronic Health Records. Genes, 12(8), 1159. https://doi.org/10.3390/genes12081159
Authors:
James Margolin Havrilla
Mengge Zhao
Cong Liu
Chunhua Weng
Ingo Helbig
Elizabeth Bhoj
Kai Wang
Affiliated Authors:
Cong Liu
Chunhua Weng
Columbia Affiliation:
Subjects:
Data Mining (MeSH)
Down Syndrome (MeSH)
Electronic Health Records (MeSH)
Phenotype (MeSH)
Author Keywords:
down syndrome
phenotype
electronic health records
phenotypic spectrum
longitudinal study
natural language processing
text mining
large-scale
elink
Publication Type:
Article
Unique ID:
10.3390/genes12081159
PMID:
34440331
DOI:
10.3390/genes12081159
Journal:
Genes
Publication Date:
Data Source:
PubMed
Source Link:
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Record Created: