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Prediction Models for Readmission Using Home Healthcare Notes and OMOP-CDM
Sujin Gan, Chungsoo Kim, Dong Yun Lee, Rae Woong Park
1438 - 1439
10.3233/SHTI231233
Research Article
Studies in Health Technology and Informatics
Volume 310: MEDINFO 2023 — The Future Is Accessible
Abstract

This study developed readmission prediction models using Home Healthcare (HHC) documents via natural language processing (NLP). An electronic health record of Ajou University Hospital was used to develop prediction models (A reference model using only structured data, and an NLP-enriched model with structured and unstructured data). Among 573 patients, 63 were readmitted to the hospital. Five topics were extracted from HHC documents and improved the model performance (AUROC 0.740).

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