AIMC Topic: Intensive Care Units

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Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3.

BMC medical informatics and decision making Sep 9, 2024
BACKGROUND: Sepsis poses a critical threat to hospitalized patients, particularly those in the Intensive Care Unit (ICU). Rapid identification of Sepsis is crucial for improving survival rates. Machine learning techniques offer advantages over tradit...
Sepsis Nomograms Machine Learning Biomarkers Prognosis Intensive Care Units Female Aged Male Middle Aged Humans
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A machine learning model for early candidemia prediction in the intensive care unit: Clinical application.

PloS one Sep 9, 2024
Candidemia often poses a diagnostic challenge due to the lack of specific clinical features, and delayed antifungal therapy can significantly increase mortality rates, particularly in the intensive care unit (ICU). This study aims to develop a machin...
Male Candidemia Intensive Care Units Middle Aged Humans Female China Machine Learning Aged ROC Curve Algorithms Adult
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Machine learning-based risk prediction model construction of difficult weaning in ICU patients with mechanical ventilation.

Scientific reports Sep 6, 2024
In intensive care unit (ICU) patients undergoing mechanical ventilation (MV), the occurrence of difficult weaning contributes to increased ventilator-related complications, prolonged hospitalization duration, and a significant rise in healthcare cost...
Machine Learning Intensive Care Units Female Risk Factors Humans Respiration, Artificial ROC Curve Ventilator Weaning Aged Male Middle Aged Risk Assessment
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Predicting Mortality in Sepsis-Associated Acute Respiratory Distress Syndrome: A Machine Learning Approach Using the MIMIC-III Database.

Journal of intensive care medicine Sep 5, 2024
BackgroundTo develop and validate a mortality prediction model for patients with sepsis-associated Acute Respiratory Distress Syndrome (ARDS).MethodsThis retrospective cohort study included 2466 patients diagnosed with sepsis and ARDS within 24 h of ...
Humans Middle Aged Sepsis Logistic Models Intensive Care Units Respiratory Distress Syndrome Hospital Mortality Female Machine Learning Predictive Value of Tests ROC Curve Aged Databases, Factual Bayes Theorem Male Retrospective Studies
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Timely ICU Outcome Prediction Utilizing Stochastic Signal Analysis and Machine Learning Techniques with Readily Available Vital Sign Data.

IEEE journal of biomedical and health informatics Sep 5, 2024
The ICU is a specialized hospital department that offers critical care to patients at high risk. The massive burden of ICU-requiring care requires accurate and timely ICU outcome predictions for alleviating the economic and healthcare burdens imposed...
Prognosis Intensive Care Units Female Aged Humans Machine Learning Algorithms Signal Processing, Computer-Assisted Critical Care Vital Signs Adult Stochastic Processes Male Middle Aged Deep Learning
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A machine learning-based prediction of hospital mortality in mechanically ventilated ICU patients.

PloS one Sep 4, 2024
BACKGROUND: Mechanical ventilation (MV) is vital for critically ill ICU patients but carries significant mortality risks. This study aims to develop a predictive model to estimate hospital mortality among MV patients, utilizing comprehensive health d...
Aged Male Middle Aged Respiration, Artificial Critical Illness Hospital Mortality Humans Support Vector Machine Intensive Care Units Machine Learning Female Databases, Factual
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Early prognosis prediction for non-variceal upper gastrointestinal bleeding in the intensive care unit: based on interpretable machine learning.

European journal of medical research Aug 31, 2024
INTRODUCTION: This study aims to construct a mortality prediction model for patients with non-variceal upper gastrointestinal bleeding (NVUGIB) in the intensive care unit (ICU), employing advanced machine learning algorithms. The goal is to identify ...
Aged Machine Learning Male Prognosis Middle Aged Intensive Care Units Gastrointestinal Hemorrhage Female Humans
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Prediction of mortality events of patients with acute heart failure in intensive care unit based on deep neural network.

Computer methods and programs in biomedicine Aug 30, 2024
BACKGROUND: Acute heart failure (AHF) in the intensive care unit (ICU) is characterized by its criticality, rapid progression, complex and changeable condition, and its pathophysiological process involves the interaction of multiple organs and system...
Deep Learning Machine Learning Hospital Mortality Algorithms Humans Acute Disease Databases, Factual Neural Networks, Computer Data Mining Risk Factors Heart Failure Intensive Care Units Prognosis Aged Electronic Health Records Male Female Middle Aged
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Multimodal fusion network for ICU patient outcome prediction.

Neural networks : the official journal of the International Neural Network Society Aug 29, 2024
Over the past decades, massive Electronic Health Records (EHRs) have been accumulated in Intensive Care Unit (ICU) and many other healthcare scenarios. The rich and comprehensive information recorded presents an exceptional opportunity for patient ou...
Humans Neural Networks, Computer Intensive Care Units Electronic Health Records Length of Stay
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Using Domain Adaptation and Inductive Transfer Learning to Improve Patient Outcome Prediction in the Intensive Care Unit: Retrospective Observational Study.

Journal of medical Internet research Aug 21, 2024
BACKGROUND: Accurate patient outcome prediction in the intensive care unit (ICU) can potentially lead to more effective and efficient patient care. Deep learning models are capable of learning from data to accurately predict patient outcomes, but the...
Middle Aged Deep Learning Patient Outcome Assessment Electronic Health Records Female Male Humans Machine Learning Retrospective Studies Intensive Care Units
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