Assessing clinical usefulness of readmission risk prediction model
Readmission manifests signs of degraded quality of care and increased healthcare cost. Such adverse event may be attributed to premature discharge, unsuccessful treatments, or worsening comorbidities. Predictive modeling provides useful information to identify patients at a higher risk for readmissi...
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| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/43429/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129328361&doi=10.1007%2f978-3-030-90724-2_42&partnerID=40&md5=923c8312d80c502365be89bab829a3b7 |
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