AIMC Topic: Sepsis

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Early sepsis mortality prediction model based on interpretable machine learning approach: development and validation study.

Internal and emergency medicine Aug 14, 2024
Sepsis triggers a harmful immune response due to infection, causing high mortality. Predicting sepsis outcomes early is vital. Despite machine learning's (ML) use in medical research, local validation within the Medical Information Mart for Intensive...
Prognosis Female Aged Humans Machine Learning China Sepsis Hospital Mortality Adult Male Middle Aged ROC Curve Logistic Models
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C-reactive protein (CRP) evaluation in human urine using optical sensor supported by machine learning.

Scientific reports Aug 14, 2024
The rapid and sensitive indicator of inflammation in the human body is C-Reactive Protein (CRP). Determination of CRP level is important in medical diagnostics because, depending on that factor, it may indicate, e.g., the occurrence of inflammation o...
Interferometry Sepsis Biosensing Techniques Inflammation C-Reactive Protein Urinary Tract Infections Optical Fibers Humans Machine Learning
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Unraveling the impact of therapeutic drug monitoring via machine learning for patients with sepsis.

Cell reports. Medicine Aug 9, 2024
Clinical studies investigating the benefits of beta-lactam therapeutic drug monitoring (TDM) among critically ill patients are hindered by small patient groups, variability between studies, patient heterogeneity, and inadequate use of TDM. Accordingl...
Drug Monitoring Organ Dysfunction Scores beta-Lactams Critical Illness Machine Learning Female Humans Male Algorithms Aged Middle Aged Anti-Bacterial Agents Sepsis
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Prediction of 30-day mortality for ICU patients with Sepsis-3.

BMC medical informatics and decision making Aug 8, 2024
BACKGROUND: There is a growing demand for advanced methods to improve the understanding and prediction of illnesses. This study focuses on Sepsis, a critical response to infection, aiming to enhance early detection and mortality prediction for Sepsis...
Male Humans Middle Aged Machine Learning Sepsis Prognosis Hospital Mortality Intensive Care Units Female Aged
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Deep Learning-Empowered Clinical Big Data Analytics in Healthcare Digital Twins.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
With the rapid development of information technology, great changes have taken place in the way of managing, analyzing, and using data in all walks of life. Using deep learning algorithm for data analysis in the field of medicine can improve the accu...
Internet of Things Deep Learning Sepsis Big Data Humans Algorithms
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Predictive models of sepsis-associated acute kidney injury based on machine learning: a scoping review.

Renal failure Jul 31, 2024
BACKGROUND: With the development of artificial intelligence, the application of machine learning to develop predictive models for sepsis-associated acute kidney injury has made potential breakthroughs in early identification, grading, diagnosis, and ...
Blood Urea Nitrogen Humans Acute Kidney Injury Machine Learning Sepsis Prognosis Creatinine
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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.
Male Middle Aged Sepsis Aged Aged, 80 and over Humans Adult Machine Learning Prognosis Bacteremia Retrospective Studies Female
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Machine learning for predicting mortality in adult critically ill patients with Sepsis: A systematic review.

Journal of critical care Jul 25, 2024
INTRODUCTION: Various Machine Learning (ML) models have been used to predict sepsis-associated mortality. We conducted a systematic review to evaluate the methodologies employed in studies to predict mortality among patients with sepsis.
Critical Illness Adult Sepsis Humans Machine Learning
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Machine learning for the prediction of 1-year mortality in patients with sepsis-associated acute kidney injury.

BMC medical informatics and decision making Jul 25, 2024
INTRODUCTION: Sepsis-associated acute kidney injury (SA-AKI) is strongly associated with poor prognosis. We aimed to build a machine learning (ML)-based clinical model to predict 1-year mortality in patients with SA-AKI.
Aged Male Middle Aged Sepsis Prognosis Acute Kidney Injury Female Humans Machine Learning Algorithms
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A proof of concept for microcirculation monitoring using machine learning based hyperspectral imaging in critically ill patients: a monocentric observational study.

Critical care (London, England) Jul 10, 2024
BACKGROUND: Impaired microcirculation is a cornerstone of sepsis development and leads to reduced tissue oxygenation, influenced by fluid and catecholamine administration during treatment. Hyperspectral imaging (HSI) is a non-invasive bedside technol...
Humans Machine Learning Sepsis Monitoring, Physiologic Adult Critical Illness Hyperspectral Imaging Male Female Proof of Concept Study Middle Aged Aged Microcirculation
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