AIMC Topic: Infections

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A machine learning approach for assessing acute infection by erythrocyte sedimentation rate (ESR) kinetics.

Clinica chimica acta; international journal of clinical chemistry Jun 15, 2025
BACKGROUND: The erythrocyte sedimentation rate (ESR) is a traditional marker of inflammation, valued for its simplicity and low cost but limited by unsatisfactory specificity and sensitivity. This study evaluated the equivalence of ESR measurements o...
Humans Machine Learning Female Aged Acute Disease Kinetics Infections Blood Sedimentation Adult Male Middle Aged
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Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Reproducibility of Results Aged Male Middle Aged Machine Learning Anti-Bacterial Agents Female Logistic Models Liver Cirrhosis Support Vector Machine Kidney Diseases Severity of Illness Index Cohort Studies ROC Curve Humans Clinical Decision Rules End Stage Liver Disease Rifaximin Water-Electrolyte Imbalance Patient Readmission Gastrointestinal Hemorrhage Hydrothorax beta-Lactams Proton Pump Inhibitors Ascites Adrenergic beta-Antagonists Infections Gastrointestinal Agents Mortality Hepatic Encephalopathy Lactulose Paracentesis
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A Machine Learning-Based Triage Tool for Children With Acute Infection in a Low Resource Setting.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Dec 1, 2019
OBJECTIVES: To deploy machine learning tools (random forests) to develop a model that reliably predicts hospital mortality in children with acute infections residing in low- and middle-income countries, using age and other variables collected at hosp...
Triage Developing Countries Child Mortality Vital Signs Sex Factors Infections Child, Preschool Child Hospital Mortality Age Factors Severity of Illness Index Adolescent Rwanda Humans Machine Learning Prospective Studies Male Infant Prognosis Female
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Artificial intelligence can improve decision-making in infection management.

Nature human behaviour Jun 1, 2019
Clinical Decision-Making Drug Resistance, Microbial Infections Drug Prescriptions Humans Artificial Intelligence Anti-Bacterial Agents
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Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study.

The Journal of antimicrobial chemotherapy Apr 1, 2019
BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific markers of infection. We evaluated a supervised machine learning (SML) algorithm for diagnosing bacterial infection using routinely available blood par...
Follow-Up Studies Supervised Machine Learning Humans Disease Management Middle Aged Clinical Decision-Making Patient Admission Hematologic Tests Cohort Studies Young Adult ROC Curve Diagnostic Tests, Routine Adult Decision Support Systems, Clinical Algorithms Aged Infections Male Female Biomarkers Aged, 80 and over Prognosis
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A simplified chart for determining the initial loading dose of teicoplanin in critically ill patients.

Die Pharmazie Jan 10, 2017
AIM OF THE STUDY: A simplified chart to determine the initial loading dose of teicoplanin (TEIC chart) for achieving the target trough concentration was developed. The aim of the present study was to evaluate the usefulness of this chart in criticall...
Female Staphylococcal Infections Reproducibility of Results Aged Infections Adult Teicoplanin Male Middle Aged Anti-Bacterial Agents Aged, 80 and over Humans Adolescent Retrospective Studies Young Adult Software Predictive Value of Tests Critical Illness Algorithms
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