Respiratory Failure
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Benchmarks
HiRID
Most implemented
Data-Driven Modeling of IRCU Patient Flow in the COVID-19 Pandemic
Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise
Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data
Temporal Label Smoothing for Early Event Prediction
Papers
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 Reasoning