Standalone LLM and a pre-specified agentic pipeline for explaining ICU mortality predictions; a feasibility study on the eICU demo dataset
Read the original at arxiv.org→arXiv:2608.26109v1 Announce Type: new Abstract: Machine-learning models can predict ICU mortality accurately, but feature-attribution methods alone rarely provide the clinical narrative needed for bedside use. Large...
Original headline: "Standalone LLM and a Pre-specified Agentic Pipeline for Explaining ICU Mortality Predictions: a Feasibility Study on the eICU Demo Dataset"
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- Aug 28, 04:00 UTC arXiv cs.AI lead source Standalone LLM and a Pre-specified Agentic Pipeline for Explaining ICU Mortality Predictions: a Feasibility Study on the eICU Demo Dataset