Enhancing medical data completeness using an iterative KNN based-Kernelized fuzzy c-means imputation method
Abstract Accurate handling of missing values in medical datasets is essential to ensure reliable analysis, accurate diagnoses, and effective treatment planning. Incomplete medical data can significantly compromise the quality of clinical decision-making and hinder the development of intelligent heal...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2026-01-01
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| Serie: | Discover Computing |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s10791-025-09889-4 |
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