AIMC Topic: Sepsis

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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...
Humans Inflammation C-Reactive Protein Urinary Tract Infections Machine Learning Sepsis Biosensing Techniques Optical Fibers Interferometry
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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 Female Male Aged Machine Learning Middle Aged Algorithms Sepsis Anti-Bacterial Agents Humans
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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...
Humans Machine Learning Prognosis Male Intensive Care Units Sepsis Middle Aged Hospital Mortality 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...
Big Data Internet of Things Algorithms Deep Learning Sepsis Humans
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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 Acute Kidney Injury Humans Sepsis Machine Learning Creatinine Prognosis
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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.
Humans Male Aged Machine Learning Middle Aged Bacteremia Aged, 80 and over Prognosis Sepsis Adult 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 Humans Adult Machine Learning Sepsis
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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 Hyperspectral Imaging Proof of Concept Study Microcirculation Adult Male Critical Illness Middle Aged Female Aged
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Development and external validation of machine learning-based models to predict patients with cellulitis developing sepsis during hospitalisation.

BMJ open Jul 5, 2024
OBJECTIVE: Cellulitis is the most common cause of skin-related hospitalisations, and the mortality of patients with sepsis remains high. Some stratification models have been developed, but their performance in external validation has been unsatisfact...
Middle Aged Sepsis ROC Curve Area Under Curve Cellulitis Humans Aged Machine Learning Adult Male Retrospective Studies Female Hospitalization
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