Respiratory rate is a fundamental vital sign that is sensitive to different pathological
conditions (eg, adverse cardiac events, pneumonia, and clinical deterioration) and stressors …

Artificial intelligence (AI) is gradually changing medical practice. With recent progress in
digitized data acquisition, machine learning and computing infrastructure, AI applications …

Objective To provide an overview and critical appraisal of early warning scores for adult
hospital patients. Design Systematic review. Data sources Medline, CINAHL, PsycInfo, and …

Objective: Machine learning methods are flexible prediction algorithms that may be more
accurate than conventional regression. We compared the accuracy of different techniques …

Rationale: Early warning system (EWS) scores are used by hospital care teams to recognize
early signs of clinical deterioration and trigger more intensive care. Objective: To …

Background Early warning scores are widely used to identify deteriorating patients. Whilst
their ability to predict clinical outcomes has been extensively reviewed, there has been no …

Background Acute deterioration in critical ill patients is often preceded by changes in
physiological parameters, such as pulse, blood pressure, temperature and respiratory rate. If …

In recent years, the advent of new experimental methodologies for studying the high
complexity of the human genome and proteome has led to the generation of an increasing …

The goal of this statement is to develop consensus recommendations aimed at measuring
and optimizing outcomes after in-hospital cardiac arrest (IHCA). For the purposes of this …

This paper provides an overview of flexible and wearable respiration sensors with emphasis
on their significance in healthcare applications. The paper classifies these sensors based on …