📚 Excited to share our recent study "Clinical Risk Prediction Using Language Models: Benefits and Considerations"! Here, we introduce two novel LLM-based methods: LLaMA2-EHR & Sent-e-Med for robust EHR analysis. 🌐Read more: arxiv.org/abs/2312.03742 #MLForHealth #EHR #LLM
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Experiments across different methods and 3 separate risk prediction tasks reveal that employing LLMs to represent structured EHRs, such as diagnostic histories, results in performance improvements when evaluated using standard metrics such as ROC AUC and PR AUC.