[HTML][HTML] A scoping review of machine learning for sepsis prediction-feature engineering strategies and model performance: a step towards explainability
S Bomrah, M Uddin, U Upadhyay, M Komorowski… - Critical Care, 2024 - Springer
Background Sepsis, an acute and potentially fatal systemic response to infection,
significantly impacts global health by affecting millions annually. Prompt identification of …
significantly impacts global health by affecting millions annually. Prompt identification of …
Development and implementation of a machine-learning algorithm for early identification of sepsis in a multi-hospital academic healthcare system
Methods: We developed and deployed a real-time machine-learning algorithm to predict
patients at elevated risk of developing severe sepsis and/or septic shock. We trained a …
patients at elevated risk of developing severe sepsis and/or septic shock. We trained a …
[HTML][HTML] A deep learning model for real-time mortality prediction in critically ill children
SY Kim, S Kim, J Cho, YS Kim, IS Sol, Y Sung, I Cho… - Critical care, 2019 - Springer
Background The rapid development in big data analytics and the data-rich environment of
intensive care units together provide unprecedented opportunities for medical …
intensive care units together provide unprecedented opportunities for medical …
[HTML][HTML] Pediatric septic shock estimation using deep learning and electronic medical records
JW Lee, B Lee, JD Park - Acute and Critical Care, 2024 - accjournal.org
Background Diagnosing pediatric septic shock is difficult due to the complex and often
impractical traditional criteria, such as systemic inflammatory response syndrome (SIRS) …
impractical traditional criteria, such as systemic inflammatory response syndrome (SIRS) …
[HTML][HTML] Genome-wide transcription profiling of human sepsis: a systematic review
BM Tang, SJ Huang, AS McLean - Critical care, 2010 - Springer
Introduction Sepsis is thought to be an abnormal inflammatory response to infection.
However, most clinical trials of drugs that modulate the inflammatory response of sepsis …
However, most clinical trials of drugs that modulate the inflammatory response of sepsis …
[HTML][HTML] Identification and transcriptomic assessment of latent profile pediatric septic shock phenotypes
MR Atreya, M Huang, AR Moore, H Zheng… - Critical Care, 2024 - Springer
Background Sepsis poses a grave threat, especially among children, but treatments are
limited owing to heterogeneity among patients. We sought to test the clinical and biological …
limited owing to heterogeneity among patients. We sought to test the clinical and biological …
[HTML][HTML] Comparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency room
F Jaimes, J Farbiarz, D Alvarez, C Martínez - Critical care, 2005 - Springer
Introduction Neural networks are new methodological tools based on nonlinear models.
They appear to be better at prediction and classification in biological systems than do …
They appear to be better at prediction and classification in biological systems than do …
A novel biomarker panel with a Multimarker Index value for the diagnosis of sepsis in the Emergency Department
26th International Symposium on Intensive Care and Emergency Medicine Page 1 S1 Available
online http://ccforum.com/supplements/10/S1 Critical Care Volume 10 Suppl 1, 2006 26th …
online http://ccforum.com/supplements/10/S1 Critical Care Volume 10 Suppl 1, 2006 26th …
The PRESEP score: an early warning scoring system to identify septic patients in the emergency care setting
O Bayer, CS Hartog, D Schwarzkopf, C Stumme… - Critical Care, 2014 - Springer
Methods A retrospective study of 375 patients admitted to Jena University Hospital
emergency department (ED) through emergency medical services (EMS). Sepsis was …
emergency department (ED) through emergency medical services (EMS). Sepsis was …
Diagnostic accuracy and clinical relevance of an inflammatory biomarker panel in early sepsis in adult critical care patients
Methods Adult ICU patients, between 2012 and 2014 were eligible. The eight-color flow
cytometric biomarker panel included CD64, CD163, HLA DR, CD15 and others. Diagnostic …
cytometric biomarker panel included CD64, CD163, HLA DR, CD15 and others. Diagnostic …