An emphasis on overly broad notions of generalisability as it pertains to applications of
machine learning in health care can overlook situations in which machine learning might …

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

There is a growing clinical and scientific interest in catheter-directed therapy (CDT) of acute
pulmonary embolism (PE). Currently, CDT should be considered for patients with high-risk …

Machine learning is increasingly integrated into clinical practice, with applications ranging
from pre-clinical data processing, bedside diagnosis assistance, patient stratification …

The demand for emergency department (ED) services is increasing across the globe,
particularly during the current COVID-19 pandemic. Clinical triage and risk assessment have …

Rationale: Late recognition of patient deterioration in hospital is associated with worse
outcomes, including higher mortality. Despite the widespread introduction of early warning …

Abstract Coronavirus disease 2019 (COVID-19) is a respiratory disease with rapid human-to-
human transmission caused by the severe acute respiratory syndrome coronavirus 2 (SARS …

Effective and rapid triaging from primary care into secondary care plays a pivotal role in
providing patients with timely treatment and managing increasing demands for healthcare …

Background Binary classification models are frequently used to predict clinical deterioration,
however they ignore information on the timing of events. An alternative is to apply time-to …

Background Early warning tools identify patients at risk of deterioration in hospitals.
Electronic medical records in hospitals offer real-time data and the opportunity to automate …