Length of stay: prediction and explanation.
Length of stay: prediction and explanation.
复制标题
停留时间：预测和解释。
DOI：
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发表时间：
1968
影响因子：
3.4
通讯作者：
D. Gustafson
中科院分区：
文献类型：
--
作者：
D. Gustafson
摘要
五种方法预测住院时间的发展和比较。两个主观贝叶斯预测和回归预测，也测量了相对重要性的症状和人口因素预测住院时间。这些方法的性能是用几个有效性标准和一个成本标准来评价的。结果应鼓励那些有兴趣在计算机应用程序的利用审查和安排住院。
Abstract
Five methodologies for predicting hospital length of stay were developed and compared. Two—a subjective Bayesian forecaster and a regression forecaster—also measured the relative importance of the symptomatic and demographic factors in predicting length of stay. The performance of the methodologies was evaluated with several criteria of effectiveness and one of cost. The results should provide encouragement for those interested in computer applications to utilization review and to scheduling inpatient admissions.