AIMC Topic: Sepsis

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Identification of two robust subclasses of sepsis with both prognostic and therapeutic values based on machine learning analysis.

Frontiers in immunology Nov 25, 2022
BACKGROUND: Sepsis is a heterogeneous syndrome with high morbidity and mortality. Optimal and effective classifications are in urgent need and to be developed.
Nomograms Machine Learning Risk Factors Prognosis Sepsis Humans
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Diagnostic performance of machine learning models using cell population data for the detection of sepsis: a comparative study.

Clinical chemistry and laboratory medicine Nov 11, 2022
OBJECTIVES: To compare the artificial intelligence algorithms as powerful machine learning methods for evaluating patients with suspected sepsis using data from routinely available blood tests performed on arrival at the hospital. Results were compar...
Humans Artificial Intelligence Logistic Models Bayes Theorem Machine Learning Sepsis
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Predicting risk of sepsis, comparison between machine learning methods: a case study of a Virginia hospital.

European journal of medical research Oct 28, 2022
Sepsis is an inflammation caused by the body's systemic response to an infection. The infection could be a result of many diseases, such as pneumonia, urinary tract infection, and other illnesses. Some of its symptoms are fever, tachycardia, tachypne...
Bayes Theorem Virginia Humans Hospitals Machine Learning Sepsis
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Dynamic Sepsis Prediction for Intensive Care Unit Patients Using XGBoost-Based Model With Novel Time-Dependent Features.

IEEE journal of biomedical and health informatics Aug 11, 2022
Sepsis is a systemic inflammatory response caused by pathogens such as bacteria. Because its pathogenesis is not clear, the clinical manifestations of patients vary greatly, and the alarming incidence and mortality pose a great threat to patients and...
Artificial Intelligence Machine Learning Humans Sepsis Critical Care Intensive Care Units
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Explainable Artificial Intelligence Helps in Understanding the Effect of Fibronectin on Survival of Sepsis.

Cells Aug 5, 2022
Fibronectin (FN) plays an essential role in the host's response to infection. In previous studies, a significant decrease in the FN level was observed in sepsis; however, it has not been clearly elucidated how this parameter affects the patient's sur...
Sepsis ROC Curve Artificial Intelligence Machine Learning Fibronectins Humans
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Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing.

Nature medicine Jul 21, 2022
Machine learning-based clinical decision support tools for sepsis create opportunities to identify at-risk patients and initiate treatments at early time points, which is critical for improving sepsis outcomes. In view of the increasing use of such s...
Retrospective Studies Sepsis Early Diagnosis Humans Machine Learning
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Leveraging clinical data across healthcare institutions for continual learning of predictive risk models.

Scientific reports May 19, 2022
The inherent flexibility of machine learning-based clinical predictive models to learn from episodes of patient care at a new institution (site-specific training) comes at the cost of performance degradation when applied to external patient cohorts. ...
Humans Privacy Delivery of Health Care Machine Learning Sepsis Algorithms
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Beyond technology: Can artificial intelligence support clinical decisions in the prediction of sepsis?

Revista brasileira de enfermagem May 9, 2022
OBJECTIVE: To analyze the critical alarms predictors of clinical deterioration/sepsis for clinical decision making in patients admitted to a reference hospital complex.
Retrospective Studies Clinical Decision-Making Artificial Intelligence Machine Learning Humans Adult Adolescent Sepsis
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Challenging molecular dogmas in human sepsis using mathematical reasoning.

EBioMedicine May 3, 2022
Sepsis is defined as a dysregulated host-response to infection, across all ages and pathogens. What defines a dysregulated state remains intensively researched but incompletely understood. Here, we dissect the meaning of this definition and its impor...
Cytokine Release Syndrome Humans Artificial Intelligence Sepsis
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Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach.

Journal of medical Internet research Apr 13, 2022
BACKGROUND: Although machine learning (ML) algorithms have been applied to point-of-care sepsis prognostication, ML has not been used to predict sepsis mortality in an administrative database. Therefore, we examined the performance of common ML algor...
Hospital Mortality ROC Curve Logistic Models Adult Sepsis Humans Machine Learning
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