Article

Latent Structure in EHR Data: Reconstruction of Diabetes Markers with Sparse NMF

2025-04-01

Abstract excerpt

<h4>ABSTRACT</h4> The dimensionality of electronic health record (EHR) data continues to grow as more clinical variables are recorded, often resulting in redundancy, sparsity, and analytical intractability. In this study, we apply non-negative matrix factorization (NMF) to a high-dimensional laboratory dataset of patients with type II diabetes to estimate the minimum latent dimensionality required to preserve clin...

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Literature Corpus work: 7d3c39cb-817d-581a-bfa5-93fc6d22060b
DOI: 10.1101/2025.03.31.25324972

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