Papers Respiratory Failure
“Respiratory Failure” 태그가 달린 논문 32편 · 필터 해제
Prospective evaluation of multimodal respiratory failure prediction: Do chest X-rays improve performance beyond EHR signals?
Early prediction of respiratory failure is critical for timely clinical intervention in intensive care units. Existing electronic health record (EHR)-based models can continuously monitor physiologic deterioration, but t…
Respiratory FailureEnsuring Safety in Automated Mechanical Ventilation through Offline Reinforcement Learning and Digital Twin Verification
Mechanical ventilation (MV) is a life-saving intervention for patients with acute respiratory failure (ARF) in the ICU. However, inappropriate ventilator settings could cause ventilator-induced lung injury (VILI). Also, …
Reinforcement LearningRespiratory FailureOffline RLNeu-RadBERT for Enhanced Diagnosis of Brain Injuries and Conditions
Objective: We sought to develop a classification algorithm to extract diagnoses from free-text radiology reports of brain imaging performed in patients with acute respiratory failure (ARF) undergoing invasive mechanical …
Binary ClassificationRespiratory FailureEarly Prediction of Multi-Label Care Escalation Triggers in the Intensive Care Unit Using Electronic Health Records
Intensive Care Unit (ICU) patients often present with complex, overlapping signs of physiological deterioration that require timely escalation of care. Traditional early warning systems, such as SOFA or MEWS, are limited…
Multi-Label ClassificationRespiratory FailureContinuous Determination of Respiratory Rate in Hospitalized Patients using Machine Learning Applied to Electrocardiogram Telemetry
Respiration rate (RR) is an important vital sign for clinical monitoring of hospitalized patients, with changes in RR being strongly tied to changes in clinical status leading to adverse events. Human labels for RR, base…
Respiratory FailureDevelopment and Evaluation of an Ontology for Non-Invasive Respiratory Support in Acute Care
Managing patients with respiratory failure increasingly involves noninvasive respiratory support (NIRS) strategies to support respiration, often preventing the need for invasive mechanical ventilation. However, despite t…
Respiratory FailureLogical ReasoningData-Driven Modeling of IRCU Patient Flow in the COVID-19 Pandemic
Intermediate Respiratory Care Units (IRCUs) are vital during crises like COVID-19. This study evaluated clinical outcomes and operational dynamics of a new Spanish IRCU with specialized staffing. A prospective cohort stu…
Respiratory FailurePHEONA: An Evaluation Framework for Large Language Model-based Approaches to Computational Phenotyping
Computational phenotyping is essential for biomedical research but often requires significant time and resources, especially since traditional methods typically involve extensive manual data review. While machine learnin…
Computational PhenotypingLanguage ModelingLanguage ModellingLarge Language Model+1Prediction of Clinical Complication Onset using Neural Point Processes
Predicting medical events in advance within critical care settings is paramount for patient outcomes and resource management. Utilizing predictive models, healthcare providers can anticipate issues such as cardiac arrest…
ManagementPoint ProcessesPredictionRespiratory FailureRecurrent Neural Network on PICTURE Model
Intensive Care Units (ICUs) provide critical care and life support for most severely ill and injured patients in the hospital. With the need for ICUs growing rapidly and unprecedentedly, especially during COVID-19, accur…
modelRespiratory FailureA Multi-Modal Unsupervised Machine Learning Approach for Biomedical Signal Processing in CPR
Cardiopulmonary resuscitation (CPR) is a critical, life-saving intervention aimed at restoring blood circulation and breathing in individuals experiencing cardiac arrest or respiratory failure. Accurate and real-time ana…
Decision MakingDenoisingRespiratory FailureHigh-Fidelity 3D Lung CT Synthesis in ARDS Swine Models Using Score-Based 3D Residual Diffusion Models
Acute respiratory distress syndrome (ARDS) is a severe condition characterized by lung inflammation and respiratory failure, with a high mortality rate of approximately 40%. Traditional imaging methods, such as chest X-r…
Computed Tomography (CT)ManagementRespiratory FailureDeep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units
Sepsis-induced acute respiratory failure (ARF) is a serious complication with a poor prognosis. This paper presents a deep representation learningbased phenotyping method to identify distinct groups of clinical trajector…
Dynamic Time WarpingPrognosisRepresentation LearningRespiratory FailureLeveraging an Alignment Set in Tackling Instance-Dependent Label Noise
Noisy training labels can hurt model performance. Most approaches that aim to address label noise assume label noise is independent from the input features. In practice, however, label noise is often feature or \textit{i…
Respiratory FailureIdentifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data
Determining clinically relevant physiological states from multivariate time series data with missing values is essential for providing appropriate treatment for acute conditions such as Traumatic Brain Injury (TBI), resp…
ClusteringImputationMissing ValuesRespiratory Failure+1Classification of Lung Pathologies in Neonates using Dual Tree Complex Wavelet Transform
Annually 8500 neonatal deaths are reported in the US due to respiratory failure. Recently, Lung Ultrasound (LUS), due to its radiation free nature, portability, and being cheaper is gaining wide acceptability as a diagno…
Diagnosticimage-classificationImage ClassificationRespiratory FailureTemporal Label Smoothing for Early Event Prediction
Models that can predict the occurrence of events ahead of time with low false-alarm rates are critical to the acceptance of decision support systems in the medical community. This challenging task is typically treated as…
Binary ClassificationCirculatory FailureDecompensationPrediction+2HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
The recent success of machine learning methods applied to time series collected from Intensive Care Units (ICU) exposes the lack of standardized machine learning benchmarks for developing and comparing such methods. Whil…
BIG-bench Machine LearningCirculatory FailureICU MortalityKidney Function+5Cluster-based Feature Importance Learning for Electronic Health Record Time-series
The recent availability of Electronic Health Records (EHR) has allowed for the development of algorithms predicting inpatient risk of deterioration and trajectory evolution. However, prediction of disease progression wit…
Feature ImportanceRespiratory FailureTime SeriesTime Series AnalysisDeep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?
The acute respiratory distress syndrome (ARDS) is a severe form of hypoxemic respiratory failure with in-hospital mortality of 35-46%. High mortality is thought to be related in part to challenges in making a prompt diag…
Feature EngineeringRespiratory FailureSpecificity