Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records

Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records

Abstract Methicillin-resistant Staphylococcus aureus (MRSA) poses significant morbidity and mortality in hospitals. Rapid, accurate risk stratification of MRSA is crucial for optimizing antibiotic therapy. Our study introduced a deep learning model, PyTorch_EHR, which leverages electronic health rec...

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Bibliographic Details
Main Authors: Masayuki Nigo, Laila Rasmy, Bingyu Mao, Bijun Sai Kannadath, Ziqian Xie, Degui Zhi
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-46211-0

Internet

https://doi.org/10.1038/s41467-024-46211-0

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