Results 31 to 40 of about 160,236 (219)
Background Despite its continued use in many low-volume emergency departments (EDs), 3-level triage systems have not been extensively studied, especially on live triage cases.
Rex Pui Kin Lam+5 more
doaj +1 more source
Differentiable Learning Under Triage [PDF]
Multiple lines of evidence suggest that predictive models may benefit from algorithmic triage. Under algorithmic triage, a predictive model does not predict all instances but instead defers some of them to human experts. However, the interplay between the prediction accuracy of the model and the human experts under algorithmic triage is not well ...
arxiv
Ethics guidelines on COVID-19 triage—an emerging international consensus
COVID-19—classified as a pandemic by the WHO on March 11, 2020—is expected to put tremendous strain on many healthcare systems. Early epidemiological analyses show that compared to the seasonal flu, COVID-19 patients may require ventilation much more ...
S. Joebges, N. Biller-Andorno
semanticscholar +1 more source
Putting ICU triage guidelines into practice: A simulation study using observations and interviews
Background The COVID-19 pandemic has prompted many countries to formulate guidelines on how to deal with a worst-case scenario in which the number of patients needing intensive care unit (ICU) care exceeds the number of available beds. This study aims to
Inger L. Abma+8 more
doaj +2 more sources
A novel Network Science Algorithm for Improving Triage of Patients [PDF]
Patient triage plays a crucial role in healthcare, ensuring timely and appropriate care based on the urgency of patient conditions. Traditional triage methods heavily rely on human judgment, which can be subjective and prone to errors. Recently, a growing interest has been in leveraging artificial intelligence (AI) to develop algorithms for triaging ...
arxiv
Recommendations on COVID‐19 triage: international comparison and ethical analysis
On March 11, 2020 the World Health Organization classified COVID‐19, caused by Sars‐CoV‐2, as a pandemic. Although not much was known about the new virus, the first outbreaks in China and Italy showed that potentially a large number of people worldwide ...
Susanne Jöbges+3 more
semanticscholar +1 more source
TRIAGE: Characterizing and auditing training data for improved regression [PDF]
Data quality is crucial for robust machine learning algorithms, with the recent interest in data-centric AI emphasizing the importance of training data characterization. However, current data characterization methods are largely focused on classification settings, with regression settings largely understudied.
arxiv
Supplemental Digital Content is available in the text. Objectives: Coronavirus disease 2019 patients are currently overwhelming the world’s healthcare systems.
C. Sprung+5 more
semanticscholar +1 more source
NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage
—Large enterprises are increasingly relying on threat detection softwares (e.g., Intrusion Detection Systems) to allow them to spot suspicious activities.
Wajih Ul Hassan+6 more
semanticscholar +1 more source
Aims Screening services for early detection of patients is one of the important capabilities of the health system with a proper referral system. In the crisis of respiratory infection of Covid-19, screening based on symptoms is one of the key measures ...
N. Nejhaddadgar+5 more
semanticscholar +1 more source