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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Pubblicato in:J Biomed Inform
Autori principali: Ho, Joyce C., Ghosh, Joydeep, Steinhubl, Steve R., Stewart, Walter F., Denny, Joshua C., Malin, Bradley A., Sun, Jimeng
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2014
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Article
Accesso online: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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