Explainable machine learning models for predicting 30-day readmission in pediatric pulmonary hypertension: A multicenter, retrospective study
BackgroundShort-term readmission for pediatric pulmonary hypertension (PH) is associated with a substantial social and personal burden. However, tools to predict individualized readmission risk are lacking. This study aimed to develop machine learning models to predict 30-day unplanned readmission i...
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| Principais autores: | , , , , , , , , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Frontiers Media S.A.
2022-07-01
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| 叢編: | Frontiers in Cardiovascular Medicine |
| 主題: | |
| 在線閱讀: | https://www.frontiersin.org/articles/10.3389/fcvm.2022.919224/full |
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