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Development of a scoring tool for predicting prolonged length of hospital stay in peritoneal dialysis patients through data mining
BACKGROUND: The hospital admission rate is high in patients treated with peritoneal dialysis (PD), and the length of stay (LOS) in the hospital is a key indicator of medical resource allocation. This study aimed to develop a scoring tool for predicting prolonged LOS (pLOS) in PD patients by combinin...
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| Publicat a: | Ann Transl Med |
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| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
AME Publishing Company
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7723539/ https://ncbi.nlm.nih.gov/pubmed/33313182 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/atm-20-1006 |
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