Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection

Keyphrases

• Antibiotic Treatment 100%
• Empiric Antibiotics 100%
• Hospital-acquired Infection 100%
• Antibiotic Appropriateness 100%
• ICU Patients 100%
• Mortality Rate 66%
• Machine Learning Models 66%
• Low-risk Group 66%
• Computational Methods 33%
• High Risk 33%
• Mortality Risk 33%
• Increased Mortality 33%
• Mortality Prediction 33%
• External Validation 33%
• Poor Outcome 33%
• Clinical High Risk 33%
• Health Care Costs 33%
• External Data 33%
• Bloodstream Infection 33%
• Global Health Issue 33%
• Antimicrobial Resistance 33%
• Area under the Receiver Operating Characteristic (AUROC) 33%
• Ineffective Treatment 33%
• AUPRC 33%
• MIMIC-III Database 33%
• Dataset Imbalance 33%

Medicine and Dentistry

• Antibiotic Therapy 100%
• Hospital Infection 100%
• Mortality Rate 66%
• Low Risk Population 66%
• Health Care Cost 33%
• Antibiotic Resistance 33%
• Bloodstream Infection 33%
• Antibiotics 33%

Pharmacology, Toxicology and Pharmaceutical Science

• Mortality Rate 100%
• Hospital Infection 100%
• Antibiotics 50%
• Bloodstream Infection 50%
• Antibiotic Therapy 50%
• Antimicrobial Resistance 50%