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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...
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| Pubblicato in: | AMIA Annu Symp Proc |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Medical Informatics Association
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765556/ https://ncbi.nlm.nih.gov/pubmed/26958278 |
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