AIMC Topic: Infections

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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...
Female Reproducibility of Results Aged Male Humans Machine Learning Anti-Bacterial Agents Infections Hepatic Encephalopathy Paracentesis Patient Readmission Gastrointestinal Hemorrhage Proton Pump Inhibitors Support Vector Machine Adrenergic beta-Antagonists Kidney Diseases Clinical Decision Rules Hydrothorax End Stage Liver Disease Ascites Rifaximin Gastrointestinal Agents Mortality Water-Electrolyte Imbalance Lactulose ROC Curve beta-Lactams Logistic Models Liver Cirrhosis Middle Aged Severity of Illness Index Cohort Studies
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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...
Sex Factors Infections Vital Signs Triage Developing Countries Child Mortality Adolescent Rwanda Child, Preschool Child Hospital Mortality Age Factors Male Infant Severity of Illness Index Prospective Studies Prognosis Female Humans Machine Learning
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Artificial intelligence can improve decision-making in infection management.

Nature human behaviour Jun 1, 2019
Anti-Bacterial Agents Clinical Decision-Making Drug Resistance, Microbial Humans Infections Artificial Intelligence Drug Prescriptions
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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...
Cohort Studies ROC Curve Decision Support Systems, Clinical Follow-Up Studies Supervised Machine Learning Disease Management Adult Male Middle Aged Aged Aged, 80 and over Young Adult Hematologic Tests Biomarkers Diagnostic Tests, Routine Clinical Decision-Making Prognosis Infections Humans Female Patient Admission Algorithms
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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...
Predictive Value of Tests Staphylococcal Infections Infections Female Male Anti-Bacterial Agents Reproducibility of Results Middle Aged Retrospective Studies Aged Teicoplanin Adolescent Critical Illness Aged, 80 and over Young Adult Humans Adult Software Algorithms
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