arXiv Machine Learning June 11, 2026 By Feiqing Huang, Zongqi Xia, Rong Ma, Tianxi Cai

Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records

Read the original on arXiv Machine Learning →

arXiv:2606. 11570v1 Announce Type: cross Abstract: We propose a spectral-based, unsupervised representation learning framework to derive low-dimensional embeddings for clinical concepts and patients in rare disease cohorts from electronic health records, where data are high-dimensional but sample sizes are limited.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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MiGHT-EHR: A Multi-task Graph Transformer for Heterogeneous Temporal Electronic Health Records

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