Temporal Phenotyping from Longitudinal Electronic Health Records
Author:
Affiliation:
1. Drexel University, Philadelphia, USA
2. University of Connecticut, Storrs, USA
3. IBM T. J. Watson Research Center, Yorktown Heights, USA
4. Rutgers University, Newark, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2783258.2783352
Reference29 articles.
1. Learning Local Semantic Distances with Limited Supervision
2. Limestone: High-throughput candidate phenotype generation via tensor factorization
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