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Prediction of Unplanned Hospital Readmission using Clinical and Longitudinal Wearable Sensor Features
Predictive models have been suggested as potential tools for identifying highest risk patients for hospital readmissions, in order to improve care coordination and ultimately long-term patient outcomes. However, the accuracy of current predictive models for readmission prediction is still moderate a...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120790/ https://www.ncbi.nlm.nih.gov/pubmed/37090626 http://dx.doi.org/10.1101/2023.04.10.23288371 |