A hybrid of whale optimization and late acceptance hill climbing based imputation to enhance classification performance in electronic health records.
Electronic health records (EHR) are a major source of information in biomedical informatics. Yet, missing values are prominent characteristics of EHR. Prediction on dataset with missing values results in inaccurate inferences. Nearest neighbour imputation based on lazy learning approach is a proven...
| Publicado en: | Journal of Biomedical Informatics Vol. 94; pp. 103190 - 103191 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Academic Press Inc.
Jun2019
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| Acceso en línea: | Ver este registro en EBSCOhost |