Developing an Analytical Pipeline to Classify Patient Safety Event Reports Using Optimized Predictive Algorithms.
Background: Patient safety event reports provide valuable insight into systemic safety issues but deriving insights from these reports requires computational tools to efficiently parse through large volumes of qualitative data. Natural language processing (NLP) combined with predictive learning prov...
| Publicado en: | Methods of Information in Medicine Vol. 60; no. 5/6; pp. 147 - 162 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Thieme Medical Publishing Inc.
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |