Improving Mortality Prediction in ICU by Learning Long-Tailed Population of Patients Through Graph-Domain Aggregation

Improving Mortality Prediction in ICU by Learning Long-Tailed Population of Patients Through Graph-Domain Aggregation

Early detection of mortality in intensive care units (ICUs) is significant to improve patient survival. Since heterogeneous data can be collected from the intensive care unit, there are meaningful static features (e.g., ICU type, gender, and ethnicity) that can enhance the performance of early detec...

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Bibliographic Details
Main Authors: Yunseob Shin, Yunwon Tae, Yeha Lee
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Mortality prediction
clinical prediction
machine learning
classification
electronic health records
relational graph
Online Access:https://ieeexplore.ieee.org/document/9852224/

Internet

https://ieeexplore.ieee.org/document/9852224/

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