Sequence Analysis of Long-Term Readmissions among High-Impact Users of Cerebrovascular Patients
Objective. Understanding the chronological order of the causes of readmissions may help us assess any repeated chain of events among high-impact users, those with high readmission rate. We aim to perform sequence analysis of administrative data to identify distinct sequences of emergency readmission...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Stroke Research and Treatment |
| Online Access: | http://dx.doi.org/10.1155/2017/7062146 |
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