Physicians' ability to predict hospital length of stay for patients admitted to the hospital from the emergency department.
about
Reduction in observation unit length of stay with coronary computed tomography angiography depends on time of emergency department presentation.Nursing intensity and costs of nurse staffing demonstrated by the RAFAELA system: liver vs. kidney transplant recipients.Hierarchical Genetic Algorithm and Fuzzy Radial Basis Function Networks for Factors Influencing Hospital Length of Stay Outliers.
P2860
Physicians' ability to predict hospital length of stay for patients admitted to the hospital from the emergency department.
description
2012 nî lūn-bûn
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2012年の論文
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2012年論文
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2012年論文
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2012年論文
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2012年論文
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2012年論文
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2012年论文
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2012年论文
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2012年论文
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name
Physicians' ability to predict ...... from the emergency department.
@en
Physicians' ability to predict ...... from the emergency department.
@nl
type
label
Physicians' ability to predict ...... from the emergency department.
@en
Physicians' ability to predict ...... from the emergency department.
@nl
prefLabel
Physicians' ability to predict ...... from the emergency department.
@en
Physicians' ability to predict ...... from the emergency department.
@nl
P2093
P2860
P356
P1476
Physicians' ability to predict ...... from the emergency department.
@en
P2093
Gregory Mak
James C McKenzie
John B McCabe
William D Grant
P2860
P304
P356
10.1155/2012/824674
P577
2012-01-26T00:00:00Z