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

Year: 2025

Type: conference-paper

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.

Source: International Conference on Biomedical and Intelligent Systems (IC-BIS)

DOI: 10.1145/3745034.3745114

Author: Changze Li

Institution: Jilin University

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4413008231

FWCI:

Cites: 7

Cited by:

Related to: 10