AIMC Topic: Bacteremia
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Advances in diagnosis and prognosis of bacteraemia, bloodstream infection, and sepsis using machine learning: A comprehensive living literature review.
Artificial intelligence in medicine
Nov 20, 2024
BACKGROUND: Blood-related infections are a significant concern in healthcare. They can lead to serious medical complications and even death if not promptly diagnosed and treated. Throughout time, medical research has sought to identify clinical facto...
Bloodstream Infections in Childhood Acute Myeloid Leukemia and Machine Learning Models: A Single-institutional Analysis.
Journal of pediatric hematology/oncology
Oct 22, 2024
Childhood acute myeloid leukemia (AML) requires intensive chemotherapy, which may result in life-threatening bloodstream infections (BSIs). This study evaluated whether machine learning (ML) could predict BSI using electronic medical records. All chi...
Using machine learning to predict bacteremia in urgent care patients on the basis of triage data and laboratory results.
The American journal of emergency medicine
Sep 2, 2024
BACKGROUND: Despite advancements in antimicrobial therapies, bacteremia remains a life-threatening condition. Appropriate antimicrobials must be promptly administered to ensure patient survival. However, diagnosing bacteremia based on blood cultures ...
Unbiased identification of risk factors for invasive Escherichia coli disease using machine learning.
BMC infectious diseases
Aug 8, 2024
BACKGROUND: Invasive Escherichia coli disease (IED), also known as invasive extraintestinal pathogenic E. coli disease, is a leading cause of sepsis and bacteremia in older adults that can result in hospitalization and sometimes death and is frequent...
The Impact of Information Relevancy and Interactivity on Intensivists' Trust in a Machine Learning-Based Bacteremia Prediction System: Simulation Study.
JMIR human factors
Aug 1, 2024
BACKGROUND: The exponential growth in computing power and the increasing digitization of information have substantially advanced the machine learning (ML) research field. However, ML algorithms are often considered "black boxes," and this fosters dis...
Predictive modeling of mortality in carbapenem-resistant bloodstream infections using machine learning.
Journal of investigative medicine : the official publication of the American Federation for Clinical Research
Jul 30, 2024
, a notable drug-resistant bacterium, often induces severe infections in healthcare settings, prompting a deeper exploration of treatment alternatives due to escalating carbapenem resistance. This study meticulously examined clinical, microbiological...
Bloodstream infection: Derivation and validation of a reliable and multidimensional prognostic score based on a machine learning model (BLISCO).
American journal of infection control
Jul 26, 2024
BACKGROUND: A bloodstream infection (BSI) prognostic score applicable at the time of blood culture collection is missing.
Prediction of carbapenem-resistant gram-negative bacterial bloodstream infection in intensive care unit based on machine learning.
BMC medical informatics and decision making
May 14, 2024
BACKGROUND: Predicting whether Carbapenem-Resistant Gram-Negative Bacterial (CRGNB) cause bloodstream infection when giving advice may guide the use of antibiotics because it takes 2-5 days conventionally to return the results from doctor's order.
A machine learning model for the early diagnosis of bloodstream infection in patients admitted to the pediatric intensive care unit.
PloS one
May 1, 2024
Bloodstream infection (BSI) is associated with increased morbidity and mortality in the pediatric intensive care unit (PICU) and high healthcare costs. Early detection and appropriate treatment of BSI may improve patient's outcome. Data on machine-le...
Predicting community acquired bloodstream infection in infants using full blood count parameters and C-reactive protein; a machine learning study.
European journal of pediatrics
Apr 18, 2024
Early recognition of bloodstream infection (BSI) in infants can be difficult, as symptoms may be non-specific, and culture can take up to 48 h. As a result, many infants receive unneeded antibiotic treatment while awaiting the culture results. In thi...
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