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Using statistical and machine learning to help institutions detect suspicious access to electronic health records
OBJECTIVE: To determine whether statistical and machine-learning methods, when applied to electronic health record (EHR) access data, could help identify suspicious (ie, potentially inappropriate) access to EHRs. METHODS: From EHR access logs and other organizational data collected over a 2-month pe...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BMJ Group
2011
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3128412/ https://ncbi.nlm.nih.gov/pubmed/21672912 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2011-000217 |
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