Background This study aimed to develop an algorithm using the explainable artificial
intelligence (XAI) approaches for the early prediction of mortality in intensive care unit (ICU) …

Objectives The Glasgow Coma Scale (GCS) is widely used and considered the gold
standard in assessing the consciousness of patients with traumatic brain injury. However …

Background The lack of transparency is a prevalent issue among the current machine-
learning (ML) algorithms utilized for predicting mortality risk. Herein, we aimed to improve …

Aims To design a model to predict the early prognosis of patients with traumatic brain injury
(TBI) based on parameters that can be quickly obtained in emergency conditions from …

Objetivo: identificar na literatura científica evidências sobre a aplicação da escala Full
Outline of UnResponsiveness na avaliação do nível de consciência de pacientes adultos e …

Background Acute kidney injury (AKI) is more likely to develop in the elderly admitted to the
intensive care unit (ICU). Acute kidney disease (AKD) affects∼ 45% of patients with AKI and …

Background Determining the clinical neurological state of the patient is essential for making
decisions and forecasting results. The Glasgow Coma Scale and the Full Outline of …

Background Intensive care unit (ICU) patients often experience significant physiological
stress. This study evaluated the effect of a defined family visitation protocol on physiological …

Non-traumatic coma (NTC) is a common medical condition often associated with poor
outcomes. Identifying underlying causes is crucial for effective management and …

Accurate assessment and monitoring of level of consciousness is fundamental for prompt
management and recognising warning signs of deterioration in the patient. The Glasgow …