Author

B. Delaney

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Preprint Oct 2026

Are Joint-Embedding Predictive Objectives Effective for Longitudinal EHRs?

Masked language modelling (MLM) is the dominant pretraining objective for transformer encoders applied to longitudinal electronic health records (EHRs). However, reconstructing individual events may overemphasise noisy or weakly informative observations and does not explicitly encourage learning higher-level patient st...

Ashvin Gupta, B. Delaney, Alessandra Russo · 0 citations

#artificial intelligence Review Open access Aug 2026

Automatic Conversion of NICE Guidelines to an Executable Computational Model Using Large Language Models

This work demonstrates that LLMs can be used to automatically transform natural language NICE guidelines into interpretable and executable models that preserve guideline structure, allow transparent inspection and modification, and can be executed to generate patient‐specific recommendations.

Ashvin Gupta, D. Prociuk, Alessandra Russo et al. · Learning Health Systems · 0 citations