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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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Bibliografski detalji
Izdano u:J Biomed Inform
Glavni autori: Rahman, Shah Atiqur, Huang, Yuxiao, Claassen, Jan, Heintzman, Nathaniel, Kleinberg, Samantha
Format: Artigo
Jezik:Inglês
Izdano: 2015
Teme:
Online pristup: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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