[HTML][HTML] State of the art of machine learning–enabled clinical decision support in intensive care units: literature review
N Hong, C Liu, J Gao, L Han, F Chang… - JMIR medical …, 2022 - medinform.jmir.org
Background Modern clinical care in intensive care units is full of rich data, and machine
learning has great potential to support clinical decision-making. The development of …
learning has great potential to support clinical decision-making. The development of …
[HTML][HTML] Predictive modeling for readmission to intensive care: a systematic review
MM Ruppert, TJ Loftus, C Small, H Li… - Critical Care …, 2023 - journals.lww.com
OBJECTIVES: To evaluate the methodologic rigor and predictive performance of models
predicting ICU readmission; to understand the characteristics of ideal prediction models; and …
predicting ICU readmission; to understand the characteristics of ideal prediction models; and …
Early hospital mortality prediction using vital signals
Early hospital mortality prediction is critical as intensivists strive to make efficient medical
decisions about the severely ill patients staying in intensive care units (ICUs). As a result …
decisions about the severely ill patients staying in intensive care units (ICUs). As a result …
Explainable machine learning on AmsterdamUMCdb for ICU discharge decision support: uniting intensivists and data scientists
PJ Thoral, M Fornasa, DP De Bruin… - Critical care …, 2021 - journals.lww.com
Objectives: Unexpected ICU readmission is associated with longer length of stay and
increased mortality. To prevent ICU readmission and death after ICU discharge, our team of …
increased mortality. To prevent ICU readmission and death after ICU discharge, our team of …
Domain adaptation using convolutional autoencoder and gradient boosting for adverse events prediction in the intensive care unit
More than 5 million patients have admitted annually to intensive care units (ICUs) in the
United States. The leading causes of mortality are cardiovascular failures, multi-organ …
United States. The leading causes of mortality are cardiovascular failures, multi-organ …
Natural Language Processing for Health System Messages: Deep Transfer Learning Approach to Aspect-Based Sentiment Analysis of COVID-19 Content
M Sun - 2022 - search.proquest.com
Recent efforts in clinical natural language processing research have focused on mining
social media data and other user-generated data relevant to COVID-19. An increasing …
social media data and other user-generated data relevant to COVID-19. An increasing …
Entering the new digital era of intensive care medicine: an overview of interdisciplinary approaches to use artificial intelligence for patients' benefit
O Old, B Friedrichson, K Zacharowski… - European Journal of …, 2023 - journals.lww.com
The idea of implementing artificial intelligence in medicine is as old as artificial intelligence
itself. So far, technical difficulties have prevented the integration of artificial intelligence in …
itself. So far, technical difficulties have prevented the integration of artificial intelligence in …
Accurate and reproducible prediction of ICU readmissions
DP Nguyen, N Paris, A Parrot - MedRxiv, 2019 - medrxiv.org
Readmission in the intensive care unit (ICU) is associated with poor clinical outcomes and
high costs. Traditional scoring methods to help clinicians deciding whether a patient is ready …
high costs. Traditional scoring methods to help clinicians deciding whether a patient is ready …
IoT-based intensive care secure framework for patient monitoring and tracking
LN Omran, KA Ezzat, A Bayoumi… - … Journal of Grid …, 2019 - inderscienceonline.com
This paper aims to design a prototype of the real-time patient control system. The proposed
framework is used to quantify the physical parameters of the patient such as the temperature …
framework is used to quantify the physical parameters of the patient such as the temperature …
Developing a Machine Learning prediction model for bedside decision support by predicting readmission or death following discharge from the Intensive Care unit
PJ Thoral, M Fornasa, DP de Bruin, H Hovenkamp… - 2020 - researchsquare.com
Background Unexpected ICU readmission is associated with longer length of stay and an
increase in mortality. Real time support systems could prevent untimely discharge from the …
increase in mortality. Real time support systems could prevent untimely discharge from the …