Article

Sentiment in Clinical Notes: A Predictor for Length of Stay?

2026-03-18

Abstract excerpt

<h4>Background</h4> Length of stay (LOS) is a critical metric for hospital operational efficiency. While structured clinical data is widely used to predict LOS, unstructured admission notes contain latent prognostic information regarding diagnostic uncertainty and disease complexity. This study evaluates the efficacy of extracting sentiment and direct LOS estimates from admission notes to predict patient hospital...

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Literature Corpus work: d48fbd16-bf39-5bc9-8ad4-8b21ce399f94
DOI: 10.64898/2026.03.16.26348553

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