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Sepsis biomarkers and diagnostic tools with a focus on machine learning
Over the last years, there have been advances in the use of data-driven techniques to
improve the definition, early recognition, subtypes characterisation, prognostication and …
improve the definition, early recognition, subtypes characterisation, prognostication and …
Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis
Y Zhang, W Xu, P Yang, A Zhang - BMC Medical Informatics and Decision …, 2023 - Springer
Background and objectives Sepsis is accompanied by a considerably high risk of mortality in
the short term, despite the availability of recommended mortality risk assessment tools …
the short term, despite the availability of recommended mortality risk assessment tools …
Interpretable machine learning for early prediction of prognosis in sepsis: a discovery and validation study
Introduction This study aimed to develop and validate an interpretable machine-learning
model based on clinical features for early predicting in-hospital mortality in critically ill …
model based on clinical features for early predicting in-hospital mortality in critically ill …
ChatGPT and generating a differential diagnosis early in an emergency department presentation
H Ten Berg, B van Bakel, L van de Wouw, KE Jie… - Annals of Emergency …, 2024 - Elsevier
Methods Undifferentiated patients (n= 30) who presented at the ED of the Jeroen Bosch
Hospital (single-center, nonacademic teaching hospital) in March 2022, with a single proven …
Hospital (single-center, nonacademic teaching hospital) in March 2022, with a single proven …
Machine learning algorithms in sepsis
Sepsis remains a significant global health challenge due to its high mortality and morbidity,
compounded by the difficulty of early detection given its variable clinical manifestations. The …
compounded by the difficulty of early detection given its variable clinical manifestations. The …
In-hospital mortality of sepsis differs depending on the origin of infection: an investigation of predisposing factors
Sepsis is a heterogeneous syndrome characterized by a variety of clinical features. Analysis
of large clinical datasets may serve to define groups of sepsis with different risks of adverse …
of large clinical datasets may serve to define groups of sepsis with different risks of adverse …
Machine learning techniques for mortality prediction in emergency departments: a systematic review
Objectives This systematic review aimed to assess the performance and clinical feasibility of
machine learning (ML) algorithms in prediction of in-hospital mortality for medical patients …
machine learning (ML) algorithms in prediction of in-hospital mortality for medical patients …