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A new analytical framework for missing data imputation and classification with uncertainty: Missing data imputation and heart failure readmission prediction
BACKGROUND: The wide adoption of electronic health records (EHR) system has provided vast opportunities to advance health care services. However, the prevalence of missing values in EHR system poses a great challenge on data analysis to support clinical decision-making. The objective of this study i...
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| 出版年: | PLoS One |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7505424/ https://ncbi.nlm.nih.gov/pubmed/32956366 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0237724 |
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