Predicting length of stay among patients discharged from the emergency department-using an accelerated failure time model

研究成果: 期刊稿件文章同行評審

63 引文 斯高帕斯(Scopus)

指紋

深入研究「Predicting length of stay among patients discharged from the emergency department-using an accelerated failure time model」主題。共同形成了獨特的指紋。

Nursing and Health Professions

Medicine and Dentistry

Pharmacology, Toxicology and Pharmaceutical Science

Neuroscience