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Predicting 30 Days Hospital Readmission for Heart Failure patients using word embeddings

2025-02-10

Abstract excerpt

Heart Failure (HF) is a public health concern with a wider impact on quality of life and cost of care. One of the major challenges in HF is the higher rate of unplanned readmissions and sub-optimal performance of models to predict the readmissions. Hence, in this study, we implemented embeddings-based approaches to generate features for improving model performance. Specifically, we compared three embedding approac...

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Identifiers and source

Literature Corpus work
11bff568-f7f0-57b4-a9ed-41b133b7710b
DOI
10.1101/2025.02.07.25321871
Open publication

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Predicting 30 Days Hospital Readmission for Heart Failure patients using word embeddingsDOI 10.1101/2025.02.07.25321871
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