Article

Autoencoder Imputation of Missing Heterogeneous Data for Alzheimer's Disease Classification

2024-07-18

Abstract excerpt

Accurate diagnosis of Alzheimer's disease (AD) relies heavily on the availability of complete and reliable data. Yet, missingness of heterogeneous medical and clinical data are prevalent and pose significant challenges. Previous studies have explored various data imputation strategies and methods on heterogeneous data, but the evaluation of deep learning algorithms for imputing heterogeneous AD data is limited. In...

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Literature Corpus work: 75671b40-2329-5c39-82bb-2bd3beed49f2
DOI: 10.1101/2024.07.18.24310625

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