Enhancing Medical Data Imputation Using a Denoising Autoencoder with Missing-Neighborhood Perturbation.
Experimental results demonstrate that MI_NPDAE consistently outperforms baseline methods across various missing mechanisms and ratios, maintaining lower imputation errors, and the imputed data significantly improves performance in downstream predictive tasks, highlighting the practical value of the approach in clinical...