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Public health utility of cause of death data: applying empirical algorithms to improve data quality
BACKGROUND: Accurate, comprehensive, cause-specific mortality estimates are crucial for informing public health decision making worldwide. Incorrectly or vaguely assigned deaths, defined as garbage-coded deaths, mask the true cause distribution. The Global Burden of Disease (GBD) study has developed...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | BMC Med Inform Decis Mak |
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| Κύριοι συγγραφείς: | , , , , , , , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2021
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8170729/ https://ncbi.nlm.nih.gov/pubmed/34078366 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-021-01501-1 |
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