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Reducing the Environmental Impact of Syringes at the Intensive Care Unit
This research project, part of the Green Intensive Care Unit (ICU) initiative at the Erasmus University Medical Center (EMC), is focused on reducing...
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Machine learning-based prediction of length of stay (LoS) in the neonatal intensive care unit using ensemble methods
Neonatal medical data holds critical information within the healthcare industry, and it is important to analyze this data effectively. Machine...
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Revisiting the potential value of vital signs in the real-time prediction of mortality risk in intensive care unit patients
BackgroundPredicting patient mortality risk facilitates early intervention in intensive care unit (ICU) patients at greater risk of disease...
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Mortality Prediction via Logistic Regression in Intensive Care Unit Patients with Pneumonia
This work focuses on the problem of mortality prediction in patients with pneumonia after admission into an intensive care unit, by addressing it via...
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Predictive Alarm Prevention by Forecasting Threshold Alarms at the Intensive Care Unit
Patient monitors at intensive care units produce too many alarms – most of them being unnecessary. Medical staff becomes desensitised and ignores...
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Real-Time Prediction of Acute Kidney Injury in the Intensive Care Unit Using EDGE-AI Platform
Acute kidney injury (AKI) is a common early stage of renal degeneration in Intensive Care Unit (ICU) patients and is usually diagnosed by medical...
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Feasibility Study on Eye Gazing in Socially Assistive Robotics: An Intensive Care Unit Scenario
Recently, there has been an increasing interest in the adoption of socially assistive robots to support and alleviate the workload of clinical...
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Solving the Two-Stage Robust Elective Patient Surgery Planning Under Uncertainties with Intensive Care Unit Beds Availability
This paper explores the intricate challenges of the elective surgery scheduling problem, considering uncertainties in both surgery duration and...
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Simulation Model to Understand Nurses’ Fatigue Level in an Intensive Care Unit
Although nursing is physically and mentally strenuous, only a few studies have been done to find the impacts of the fatigue level and nursing...
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Early prediction of MODS interventions in the intensive care unit using machine learning
BackgroundMultiple organ dysfunction syndrome (MODS) is one of the leading causes of death in critically ill patients. MODS is the result of a...
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EMR Usage and Nurse Documentation Burden in a Medical Intensive Care Unit
Electronic medical records (EMRs) are a standard documentation system that contains vital patient health history. Although EMR system was implemented...
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Artificial Intelligence for Clinical Intensive Care in the Hospital: Opportunities and Challenges
Innovative technologies promise to substantially transform clinical health care. In particular, applications of artificial intelligence are currently...
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Improving Prediction Models’ Propriety in Intensive-Care Unit, by Enforcing an Advance Notice Period
Intensive-Care-Units (ICUs) are time-critical, and sufficient reaction time is crucial. Previous studies of systems for alerting life-threatening...
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Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning
Sepsis is a life-threatening disease that is associated with organ dysfunction. It occurs due to the body’s dysregulated response to infection. It is...
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Temporal Nodes Causal Discovery for in Intensive Care Unit Survival Analysis
In hospital and after ICU discharge deaths are usual, given the severity of the condition under which many of them are admitted to these wings....
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The prediction of mortality influential variables in an intensive care unit: a case study
The intensive care units (ICUs) are among the most expensive and essential parts of all hospitals for extremely ill patients. This study aims to...
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MAS4GC: Multi-agent System for Glycemic Control of Intensive Care Unit Patients
The coronavirus disease (COVID-19) pandemic has brought significant challenges worldwide through the consequences of increasing demand for the...
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Remote Design of a Pediatric Intensive Care Unit Dashboard in Time of Pandemics
To support the pediatric intensive care unit with the COVID-19 pandemic, we followed a user-centered design process to create a dashboard in a...
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Automated Support for Unit Test Generation
Unit testing is a stage of testing where the smallest segment of code that can be tested in isolation from the rest of the system—often a class—is...
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Command in AICA-Intensive Operations
AICA-intensive Operations – be they military missions, crisis response, or counter-terrorism – comprise complex, intractable and risk-laden tasks,...