Addressing the Curse of Missing Data in Clinical Contexts: A Novel Approach to Correlation-based Imputation
Clinical data are essential in the medical domain. However, their heterogeneous nature leads to many data quality problems, notably missing values, which undermine the performance of Machine Learning-based clinical systems. Hence, there has been a growing interest in strategies that address this cha...
| Hauptverfasser: | , , , , , , |
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| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Elsevier
2023-06-01
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| Schriftenreihe: | Journal of King Saud University: Computer and Information Sciences |
| Schlagworte: | |
| Online Zugang: | http://www.sciencedirect.com/science/article/pii/S1319157823001088 |