Inpatient Length of Stay and Mortality Prediction Utilizing Clinical Time Series Data

Inpatient Length of Stay and Mortality Prediction Utilizing Clinical Time Series Data

Electronic Health Records (EHRs), which include demographic information, clinical notes, vital signs, laboratory test results, and others, provide rich information for clinical outcome prediction. In this work, we propose a novel attention embedded residual long short-term memory (LSTM) fully Convol...

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Bibliographic Details
Main Authors: Junde Chen, Mason Li, Miles Milosevich, Tiffany Le, Andrew Bahsoun, Yuxin Wen
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
long short-term memory
self-attention mechanism
electronic health records
length of stay
Online Access:https://ieeexplore.ieee.org/document/10973124/
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https://ieeexplore.ieee.org/document/10973124/

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