AIMC Topic: beta-Lactams

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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...
Humans Machine Learning Anti-Bacterial Agents Female Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Cohort Studies ROC Curve Logistic Models Liver Cirrhosis Support Vector Machine Kidney Diseases Hydrothorax Ascites Gastrointestinal Agents Water-Electrolyte Imbalance Patient Readmission Gastrointestinal Hemorrhage Proton Pump Inhibitors Infections Hepatic Encephalopathy Paracentesis Mortality Lactulose beta-Lactams Adrenergic beta-Antagonists Clinical Decision Rules End Stage Liver Disease Rifaximin
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Systematic analysis of supervised machine learning as an effective approach to predicate β-lactam resistance phenotype in Streptococcus pneumoniae.

Briefings in bioinformatics Jul 15, 2020
Streptococcus pneumoniae is the most common human respiratory pathogen, and β-lactam antibiotics have been employed to treat infections caused by S. pneumoniae for decades. β-lactam resistance is steadily increasing in pneumococci and is mainly assoc...
Humans Microbial Sensitivity Tests Supervised Machine Learning Streptococcus pneumoniae beta-Lactam Resistance beta-Lactams
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