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Using statistical text classification to identify health information technology incidents
OBJECTIVE: To examine the feasibility of using statistical text classification to automatically identify health information technology (HIT) incidents in the USA Food and Drug Administration (FDA) Manufacturer and User Facility Device Experience (MAUDE) database. DESIGN: We used a subset of 570 272...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMJ Publishing Group
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3756261/ https://ncbi.nlm.nih.gov/pubmed/23666777 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2012-001409 |
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