Benchmarking emergency department prediction models with machine learning and public electronic health records
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 …
particularly during the current COVID-19 pandemic. Clinical triage and risk assessment have …
A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department
This study addresses the challenges associated with emergency department (ED)
overcrowding and emphasizes the need for efficient risk stratification tools to identify high …
overcrowding and emphasizes the need for efficient risk stratification tools to identify high …
Use of machine learning to differentiate children with Kawasaki disease from other febrile children in a pediatric emergency department
Importance Early awareness of Kawasaki disease (KD) helps physicians administer
appropriate therapy to prevent acquired heart disease in children. However, diagnosing KD …
appropriate therapy to prevent acquired heart disease in children. However, diagnosing KD …
Real-time artificial intelligence system for bacteremia prediction in adult febrile emergency department patients
WC Tsai, CF Liu, YS Ma, CJ Chen, HJ Lin… - International Journal of …, 2023 - Elsevier
Background Artificial intelligence (AI) holds significant potential to be a valuable tool in
healthcare. However, its application for predicting bacteremia among adult febrile patients in …
healthcare. However, its application for predicting bacteremia among adult febrile patients in …
Machine learning model for the prediction of gram-positive and gram-negative bacterial bloodstream infection based on routine laboratory parameters
F Zhang, H Wang, L Liu, T Su, B Ji - BMC Infectious Diseases, 2023 - Springer
Background Bacterial bloodstream infection is responsible for the majority of cases of sepsis
and septic shock. Early recognition of the causative pathogen is pivotal for administration of …
and septic shock. Early recognition of the causative pathogen is pivotal for administration of …
Bacteremia detection from complete blood count and differential leukocyte count with machine learning: complementary and competitive with C-reactive protein and …
F Lien, HS Lin, YT Wu, TS Chiueh - BMC infectious diseases, 2022 - Springer
Background Biomarkers, such as leukocyte count, C-reactive protein (CRP), and
procalcitonin (PCT), have been commonly used to predict the occurrence of life-threatening …
procalcitonin (PCT), have been commonly used to predict the occurrence of life-threatening …
An artificial intelligence approach to bloodstream infections prediction
This study aimed to develop an early prediction model for identifying patients with
bloodstream infections. The data resource was taken from 2015 to 2019 at Taichung …
bloodstream infections. The data resource was taken from 2015 to 2019 at Taichung …
A Machine Learning Predictive Model of Bloodstream Infection in Hospitalized Patients
The aim of the study was to build a machine learning-based predictive model to discriminate
between hospitalized patients at low risk and high risk of bloodstream infection (BSI). A Data …
between hospitalized patients at low risk and high risk of bloodstream infection (BSI). A Data …
Combination of machine learning algorithms with natural language processing may increase the probability of bacteremia detection in the emergency department: A …
G Ben-Haim, M Yosef, E Rowand, J Ben-Yosef… - Digital …, 2024 - journals.sagepub.com
Background Prompt diagnosis of bacteremia in the emergency department (ED) is of utmost
importance. Nevertheless, the average time to first clinical laboratory finding range from 1 to …
importance. Nevertheless, the average time to first clinical laboratory finding range from 1 to …
Predicting bacteremia among septic patients based on ED information by machine learning methods: a comparative study
Introduction: Bacteremia is a common but life-threatening infectious disease. However, a
well-defined rule to assess patient risk of bacteremia and the urgency of blood culture is …
well-defined rule to assess patient risk of bacteremia and the urgency of blood culture is …