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Related Experiment Video

Updated: Aug 9, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning.

José A González-Nóvoa¹, Silvia Campanioni¹, Laura Busto¹

¹Galicia Sur Health Research Institute (IIS Galicia Sur), Álvaro Cunqueiro Hospital, 36310 Vigo, Spain.

International Journal of Environmental Research and Public Health

|February 25, 2023

Summary

This summary is machine-generated.

This study introduces an optimized artificial intelligence model to predict intensive care unit (ICU) readmissions, significantly improving accuracy over existing methods. The AI model enhances patient care by identifying at-risk individuals earlier.

Failed At:

2026-06-19T13:40:00.630979+00:00

Keywords:

Bayesian optimization MIMIC SHAP XGBoost artificial intelligence automated machine learning explainable machine learning intensive care unit machine learning readmission

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