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Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study

Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study

The performance of AE variants on the MCW dataset exhibited a clear resemblance to the results obtained on the KUMC dataset, with DAE consistently outperforming the other models (P.80 when predicting AKI onset (Figure 4 C-F) and P>.89 when predicting 1-year mortality (Figure 4 G-J). Similar results were also observed when using AUPRC and AUROC as metrics (Figures S3 and S4 in Multimedia Appendix 4).

Deyi Li, Aditi Shukla, Sravani Chandaka, Bradley Taylor, Jie Xu, Mei Liu

JMIR Med Inform 2025;13:e68830