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RIDDLE: Race and ethnicity Imputation from Disease history with Deep LEarning
Anonymized electronic medical records are an increasingly popular source of research data. However, these datasets often lack race and ethnicity information. This creates problems for researchers modeling human disease, as race and ethnicity are powerful confounders for many health exposures and tre...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | PLoS Comput Biol |
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| Κύριοι συγγραφείς: | , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Public Library of Science
2018
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5940243/ https://ncbi.nlm.nih.gov/pubmed/29698408 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006106 |
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