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Limestone: High-throughput candidate phenotype generation via tensor factorization
The rapidly increasing availability of electronic health records (EHRs) from multiple heterogeneous sources has spearheaded the adoption of data-driven approaches for improved clinical research, decision making, prognosis, and patient management. Unfortunately, EHR data do not always directly and re...
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| Publicado no: | J Biomed Inform |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6563906/ https://ncbi.nlm.nih.gov/pubmed/25038555 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2014.07.001 |
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