Machine Learning for 90-Day Mortality Prediction in ICU Patients with Epilepsy: A Retrospective Analysis Using MIMIC-IV

Purpose: Through applying ML algorithms to analyse data for the prediction of for assessing 90-day mortality risk in critically ill patients diagnosed with epilepsy onset via various causes admitted to the intensive care unit (ICU), this study aims to validate ML as a reliable tool for risk assessment.

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Publication Details

Published
2025-04-11
DOI
https://doi.org/10.1145/3745034.3745114
Primary Topic
Epilepsy research and treatment
Type
article
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article

Machine Learning for 90-Day Mortality Prediction in ICU Patients with Epilepsy: A Retrospective Analysis Using MIMIC-IV

ChenXia Li
Epilepsy research and treatment
article

Machine Learning for 90-Day Mortality Prediction in ICU Patients with Epilepsy: A Retrospective Analysis Using MIMIC-IV

ChenXia Li
article en

Abstract

Purpose: Through applying ML algorithms to analyse data for the prediction of for assessing 90-day mortality risk in critically ill patients diagnosed with epilepsy onset via various causes admitted to the intensive care unit (ICU), this study aims to validate ML as a reliable tool for risk assessment.

Jilin University (CN), Jilin Agricultural University (CN)
Good health and well-being
Openalex Percentile: Top 77%
Epilepsy research and treatment
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Machine Learning for 90-Day Mortality Prediction in ICU Patients with Epilepsy: A Retrospective Analysis Using MIMIC-IV — ChenXia Li · (2025) | TGRS Research Map | TGRS