Article

Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Model

2024-09-09

Abstract excerpt

<h4>Background</h4> Readmissions among Medicare beneficiaries are a major problem for the US healthcare system from a perspective of both healthcare operations and patient caregiving outcomes. Our study analyzes Medicare hospital readmissions using LSTM networks with feature engineering to assess feature contributions. <h4>Design</h4> The 21002 senior patient admission data from MIMIC-III clinical database at Beth...

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Literature Corpus work: 0c296569-c177-57bd-86d0-48f22b436299
DOI: 10.1101/2024.09.08.24313212

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