Author

N. Sebire

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#machine learning Jul 2026

Evaluating covariate balance for long time horizon Markov decision processes

The results demonstrate that, either there is a high risk of bias within existing offline RL studies for treatment recommendations and/or, existing covariate balance metrics are not sufficient to assess such studies, and existing offline RL studies cannot be concluded as being statistically robust.

J. Spear, Rebecca Pope, N. Sebire · arXiv.org · 0 citations

Open access Aug 2026

Local retraining mitigates domain shift in sepsis prediction: Lessons from translating a neonatal model to mixed intensive care data

Local adaptation is highlighted as a practical route to recover performance and support safe, generalisable deployment of clinical prediction models in mixed clinical environments.

S. Champeaux, J. Booth, A. Brown et al. · medRxiv · 0 citations

Jul 2026

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models

LLM4EHR, a new clinical foundation model trained on ICU EHR data, is proposed and it is found that learnt EHR TS embeddings from LLM4EHR improve performance on various downstream clinical tasks with competitive performance.

Jingteng Li, A. Capstick, Louise Rigny et al. · arXiv.org · 0 citations