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Handling Temporality of Clinical Events for Drug Safety Surveillance
Using longitudinal data in electronic health records (EHRs) for post-marketing adverse drug event (ADE) detection allows for monitoring patients throughout their medical history. Machine learning methods have been shown to be efficient and effective in screening health records and detecting ADEs. Ho...
Gorde:
| Argitaratua izan da: | AMIA Annu Symp Proc |
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| Egile Nagusiak: | , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
American Medical Informatics Association
2015
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765556/ https://ncbi.nlm.nih.gov/pubmed/26958278 |
| Etiketak: |
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