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Combining Fourier and Lagged k-Nearest Neighbor Imputation for Biomedical Time Series Data
Most clinical and biomedical data contain missing values. A patient’s record may be split across multiple institutions, devices may fail, and sensors may not be worn at all times. While these missing values are often ignored, this can lead to bias and error when the data are mined. Further, the data...
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| Veröffentlicht in: | J Biomed Inform |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4755282/ https://ncbi.nlm.nih.gov/pubmed/26477633 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2015.10.004 |
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