ClustEHR: a tool for generating synthetic EHR data for unsupervised learning experiments.
Objectives Clustering algorithms are commonly used to identify disease clusters. New Clustering algorithms are benchmarked on synthetic data to assess their accuracy. These datasets lack the complexities of real electronic health record (EHR) producing a partial assessment of the algorithm. We devel...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Swansea University
2022-08-01
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| Σειρά: | International Journal of Population Data Science |
| Θέματα: | |
| Διαθέσιμο Online: | https://ijpds.org/article/view/1844 |
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