Trends and methods in intensive care unit (ICU) research using machine learning: latent dirichlet allocation (LDA)-based thematic literature review

Trends and methods in intensive care unit (ICU) research using machine learning: latent dirichlet allocation (LDA)-based thematic literature review

Abstract Introduction The use of machine learning (ML) in intensive care units (ICUs) has led to a large yet fragmented body of literature. It is imperative to conduct a systematic analysis and synthesis of this research to identify methodological trends, clinical applications, and knowledge deficit...

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Bibliographic Details
Main Authors: Duygu Topaloğlu, Olcay Polat
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Latent dirichlet allocation
Topic modeling
Intensive care unit
Machine learning
Literature review
Clinical applications
Online Access:https://doi.org/10.1186/s12911-025-03132-2
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https://doi.org/10.1186/s12911-025-03132-2

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