Machine Learning for Predicting Patient Outcomes in Intensive Care Units: Developing machine learning models to predict patient outcomes and optimize care delivery in intensive care units
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Keywords

Machine learning
ICU monitoring

How to Cite

[1]
Dr. Xavier Dubois, “Machine Learning for Predicting Patient Outcomes in Intensive Care Units: Developing machine learning models to predict patient outcomes and optimize care delivery in intensive care units”, Journal of Bioinformatics and Artificial Intelligence, vol. 4, no. 2, pp. 23–29, Sep. 2024, Accessed: Sep. 19, 2024. [Online]. Available: https://biotechjournal.org/index.php/jbai/article/view/77

Abstract

Machine learning (ML) techniques have shown promise in predicting patient outcomes in intensive care units (ICUs), aiding in the optimization of care delivery. This paper presents a comprehensive review of ML models used for predicting patient outcomes in ICUs. We discuss the challenges, methodologies, and applications of ML in this context. We also provide insights into the future directions of research in this area.

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