Development and validation of a clinical prediction model for hospitalization after emergency department admission in patients with cancer
Background and purpose: Emergency department (ED) admissions by cancer patients often result in hospitalization and prolonged ED stays, contributing to overcrowding. Early identification of patients at risk of hospitalization could improve ED flow and ensure timely provision of oncological care. Thi...
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| Main Authors: | Z.L.R. Kaplan, D. van Klaveren, J.G.A. den Duijn, R.J.C.G. Verdonschot, N. Wlazlo, J.G.J.V. Aerts, J. Bromberg, H.F. Lingsma, J. Alsma, M.M.E.M. Bos |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | ESMO Real World Data and Digital Oncology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S294982012500030X |
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