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sureLDA: A multidisease automated phenotyping method for the electronic health record
OBJECTIVE: A major bottleneck hindering utilization of electronic health record data for translational research is the lack of precise phenotype labels. Chart review as well as rule-based and supervised phenotyping approaches require laborious expert input, hampering applicability to studies that re...
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| Pubblicato in: | J Am Med Inform Assoc |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7481024/ https://ncbi.nlm.nih.gov/pubmed/32548637 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa079 |
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