Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory

Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory

<p dir="ltr">Intensive care is quite expensive, so patients’ transfer to lower-level wards must be carefully considered. A patient who is discharged from the ICU too soon carries the danger of receiving insufficient care, which results in readmission. Readmission prediction tasks are...

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Bibliographic Details
Main Author: Nadia Rasheed (22997257) (author)
Other Authors: Usman Khaliq (22997260) (author), Ashfaq Ahmed (71749) (author), Amine Bermak (1895947) (author)
Published: 2025
Subjects:
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Data management and data science
ICU readmission prediction
LSTM
MIMIC-III
time series analysis
Hospitals
Long short term memory
Data models
Predictive models
Codes
Prediction algorithms
Medical diagnostic imaging
Feature extraction
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