Identifying 20 homogeneous clusters of acute patients discharged with nonspecific diagnoses through k-prototypes mixed data clustering
Abstract Background Patients discharged with nonspecific diagnoses after acute hospital care are frequent and represent potential diagnostic uncertainty at discharge. Adverse outcomes indicate missed diagnoses with a potential for improving patient safety. However, research and interventions are lim...
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| Hlavní autoři: | , , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BMC
2026-01-01
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| Edice: | BMC Emergency Medicine |
| Témata: | |
| On-line přístup: | https://doi.org/10.1186/s12873-025-01459-7 |
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