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Using Transfer Learning for Improved Mortality Prediction in a Data-Scarce Hospital Setting
Algorithm–based clinical decision support (CDS) systems associate patient-derived health data with outcomes of interest, such as in-hospital mortality. However, the quality of such associations often depends on the availability of site-specific training data. Without sufficient quantities of data, t...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470861/ https://www.ncbi.nlm.nih.gov/pubmed/28638239 http://dx.doi.org/10.1177/1178222617712994 |