Applications of natural language processing at emergency department triage: A narrative review
Introduction Natural language processing (NLP) uses various computational methods to
analyse and understand human language, and has been applied to data acquired at …
analyse and understand human language, and has been applied to data acquired at …
Capable but amoral? Comparing AI and human expert collaboration in ethical decision making
While artificial intelligence (AI) is increasingly applied for decision-making processes, ethical
decisions pose challenges for AI applications. Given that humans cannot always agree on …
decisions pose challenges for AI applications. Given that humans cannot always agree on …
[HTML][HTML] Improving triage accuracy in prehospital emergency telemedicine: Sco** review of machine learning–enhanced approaches
D Raff, K Stewart, MC Yang, J Shang… - Interactive Journal of …, 2024 - i-jmr.org
Background: Prehospital telemedicine triage systems combined with machine learning (ML)
methods have the potential to improve triage accuracy and safely redirect low-acuity patients …
methods have the potential to improve triage accuracy and safely redirect low-acuity patients …
[HTML][HTML] Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning
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 …
providing patients with timely treatment and managing increasing demands for healthcare …
Machine learning models predict triage levels, massive transfusion protocol activation, and mortality in trauma utilizing patients hemodynamics on admission
Background The effective management of trauma patients necessitates efficient triaging,
timely activation of Massive Blood Transfusion Protocols (MTP), and accurate prediction of in …
timely activation of Massive Blood Transfusion Protocols (MTP), and accurate prediction of in …
Predictive model for mortality in severe COVID-19 patients across the six pandemic waves
N Casillas, A Ramón, AM Torres, P Blasco, J Mateo - Viruses, 2023 - mdpi.com
The impact of SARS-CoV-2 infection remains substantial on a global scale, despite
widespread vaccination efforts, early therapeutic interventions, and an enhanced …
widespread vaccination efforts, early therapeutic interventions, and an enhanced …
Profiling the offline and online risk experiences of youth to develop targeted interventions for online safety
We conducted a study with 173 adolescents (ages 13-21), who self-reported their offline and
online risk experiences and uploaded their Instagram data to our study website to flag …
online risk experiences and uploaded their Instagram data to our study website to flag …
Medical emergency department triage data processing using a machine-learning solution
Over the years, artificial intelligence has demonstrated its ability to overcome many
challenges in our day-to-day life. The evolution of it inquired more studies about Machine …
challenges in our day-to-day life. The evolution of it inquired more studies about Machine …
eXtreme Gradient Boosting-based method to classify patients with COVID-19
A Ramón, AM Torres, J Milara… - Journal of …, 2022 - journals.sagepub.com
Different demographic, clinical and laboratory variables have been related to the severity
and mortality following SARS-CoV-2 infection. Most studies applied traditional statistical …
and mortality following SARS-CoV-2 infection. Most studies applied traditional statistical …
Triage: A global perspective
D Peta, A Day, WS Lugari, V Gorman… - Journal of Emergency …, 2023 - Elsevier
Triage is a process by which patients are assessed, classified, and sorted based on their
presenting complaint and clinical urgency, providing assurance for timely access to …
presenting complaint and clinical urgency, providing assurance for timely access to …