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Preserving the knowledge of long clinical texts using aggregated ensembles of large language models
The results and analysis of this study is supportive of our method assisting in clinical healthcare systems by enabling clinical decision-making with robust performance overcoming the challenges of long text inputs and varied datasets.
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