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Predicting length of stay from an electronic patient record system: a primary total knee replacement example
被引:0
|作者:
Evelene M Carter
Henry WW Potts
机构:
[1] Oxford University Hospitals NHS Trust,Information Services Department
[2] University College London,Institute of Epidemiology and Health Care
来源:
BMC Medical Informatics and Decision Making
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14卷
关键词:
Length of stay;
Regression analysis;
Models, statistical;
negative binomial;
Total knee replacement;
Computerized Medical Records;
Hospital planning;
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