Calibrating predictive model estimates in a distributed network of patient data.
Background: Protecting the privacy of patient data is an important issue. Patient data are typically protected in local health systems, but this makes integration of data from different healthcare systems difficult. To build high-performance predictive models, a large number of samples are needed, a...
| Publicado en: | Journal of Biomedical Informatics Vol. 117 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
May2021
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| Acceso en línea: | Ver este registro en EBSCOhost |