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Article

ICU Mortality and LOS Prediction Models Using Machine Learning Based on Both Real and Synthetic Data

2026-07-28

Abstract excerpt

<title>Abstract</title> <p>The lack of data and significant class imbalance between the groups in low-resource intensive care unit (ICU) settings are two major challenges to the development of machine learning models capable of predicting mortality and length of stay accurately. This paper assesses three synthetic data generation techniques-SMOTE-NC, CTGAN, and Variational Autoencoder-alongside three machine lear...

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Literature Corpus work
97ccbc59-797c-521e-9efa-f38fdd2c8be3
DOI
10.21203/rs.3.rs-10182396/v1
Open publication

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ICU Mortality and LOS Prediction Models Using Machine Learning Based on Both Real and Synthetic DataDOI 10.21203/rs.3.rs-10182396/v1
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