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A Statistical Model to Detect DRG Outliers

This study aims to develop a statistical model to detect both high and low outlier cases in terms of diagnosis-related group (DRG) distributions. A data set containing five DRGs with 458 patient cases was selected for the study. The distributions of DRG cost and length of stay (LOS) are examined fir...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Shuguang Lin, Paul Rouse, Ying-Ming Wang, Fan Zhang
Hōputu: Artigo
Reo:Inglês
I whakaputaina: IEEE 2022-01-01
Rangatū:IEEE Access
Ngā marau:
Urunga tuihono:https://ieeexplore.ieee.org/document/9727171/
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