AIMC Topic: Intensive Care Units

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Predicting 28-day all-cause mortality in patients admitted to intensive care units with pre-existing chronic heart failure using the stress hyperglycemia ratio: a machine learning-driven retrospective cohort analysis.

Cardiovascular diabetology Jan 8, 2025
Chronic heart failure (CHF) poses a significant threat to human health. The stress hyperglycemia ratio (SHR) is a novel metric for accurately assessing stress hyperglycemia, which has been correlated with adverse outcomes in various major diseases. H...
Risk Assessment Blood Glucose Time Factors Hyperglycemia Aged Aged, 80 and over Male Middle Aged Patient Admission Chronic Disease Predictive Value of Tests Cause of Death Heart Failure Decision Support Techniques Databases, Factual Biomarkers Prognosis Retrospective Studies Intensive Care Units Female Risk Factors Humans Machine Learning
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Interpretable machine learning-based prediction of 28-day mortality in ICU patients with sepsis: a multicenter retrospective study.

Frontiers in cellular and infection microbiology Jan 8, 2025
BACKGROUND: Sepsis is a major cause of mortality in intensive care units (ICUs) and continues to pose a significant global health challenge, with sepsis-related deaths contributing substantially to the overall burden on healthcare systems worldwide. ...
Retrospective Studies Aged Logistic Models Humans Intensive Care Units Machine Learning Support Vector Machine Female Algorithms Male Risk Factors Prognosis Middle Aged Sepsis
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Prediction of mortality in intensive care unit with short-term heart rate variability: Machine learning-based analysis of the MIMIC-III database.

Computers in biology and medicine Jan 7, 2025
BACKGROUND: Prognosis prediction in the intensive care unit (ICU) traditionally relied on physiological scoring systems based on clinical indicators at admission. Electrocardiogram (ECG) provides easily accessible information, with heart rate variabi...
Humans Machine Learning Databases, Factual Prognosis Heart Rate Male Retrospective Studies Middle Aged Intensive Care Units Hospital Mortality Female Electrocardiography Aged
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An interpretable machine learning model for predicting in-hospital mortality in ICU patients with ventilator-associated pneumonia.

PloS one Jan 7, 2025
BACKGROUND: Ventilator-associated pneumonia (VAP) is a common nosocomial infection in ICU, significantly associated with poor outcomes. However, there is currently a lack of reliable and interpretable tools for assessing the risk of in-hospital morta...
ROC Curve Pneumonia, Ventilator-Associated Male Humans Female Machine Learning Aged Middle Aged Intensive Care Units Hospital Mortality
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Machine learning-based 28-day mortality prediction model for elderly neurocritically Ill patients.

Computer methods and programs in biomedicine Jan 6, 2025
BACKGROUND: The growing population of elderly neurocritically ill patients highlights the need for effective prognosis prediction tools. This study aims to develop and validate machine learning (ML) models for predicting 28-day mortality in intensive...
Kaplan-Meier Estimate Nervous System Diseases Female Aged Aged, 80 and over Male Humans Prognosis Critical Illness Machine Learning Intensive Care Units Algorithms
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External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis.

BMC medical informatics and decision making Jan 6, 2025
BACKGROUND: Machine learning (ML) is increasingly used to predict clinical deterioration in intensive care unit (ICU) patients through scoring systems. Although promising, such algorithms often overfit their training cohort and perform worse at new h...
Intensive Care Units Reproducibility of Results Humans Machine Learning
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Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction.

Pharmacotherapy Jan 3, 2025
BACKGROUND: Fluid overload (FO) in the intensive care unit (ICU) is common, serious, and may be preventable. Intravenous medications (including administered volume) are a primary cause for FO but are challenging to evaluate as a FO predictor given th...
Male Humans Middle Aged Machine Learning Cohort Studies Unsupervised Machine Learning Water-Electrolyte Imbalance Retrospective Studies Intensive Care Units Female Aged
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An artificial intelligence application to predict prolonged dependence on mechanical ventilation among patients with critical orthopaedic trauma: an establishment and validation study.

BMC musculoskeletal disorders Dec 30, 2024
BACKGROUND: Prolonged dependence on mechanical ventilation is a common occurrence in clinical ICU patients and presents significant challenges for patient care and resource allocation. Predicting prolonged dependence on mechanical ventilation is cruc...
Female Machine Learning Support Vector Machine Aged Middle Aged Humans Retrospective Studies Predictive Value of Tests Adult Risk Assessment Critical Illness Artificial Intelligence Male Respiration, Artificial Intensive Care Units Time Factors
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Comparison of population pharmacokinetic modeling and machine learning approaches for predicting voriconazole trough concentrations in critically ill patients.

International journal of antimicrobial agents Dec 26, 2024
BACKGROUND: Despite the widespread use of voriconazole in antifungal treatment, its high pharmacokinetic and pharmacodynamic variability may lead to suboptimal efficacy, especially in intensive care unit (ICU) patients. Machine learning (ML), an arti...
Voriconazole Male Middle Aged Antifungal Agents Bayes Theorem Intensive Care Units Female Aged Adult Humans Machine Learning Critical Illness
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Machine Learning Model for Risk Prediction of Prolonged Intensive Care Unit in Patients Receiving Intra-aortic Balloon Pump Therapy during Coronary Artery Bypass Graft Surgery.

Journal of cardiovascular translational research Dec 24, 2024
This study aimed to construct machine learning models and predict prolonged intensive care units (ICU) stay in patients receiving perioperative intra-aortic balloon pump (IABP) therapy during cardiac surgery. 236 patients were divided into the normal...
Humans Machine Learning Decision Support Techniques Retrospective Studies Intensive Care Units Female Reproducibility of Results Predictive Value of Tests Risk Assessment Coronary Artery Bypass Length of Stay Risk Factors Intra-Aortic Balloon Pumping Aged Time Factors Male Treatment Outcome Middle Aged
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