A consensus-weighted multi-agent ensemble feature selection framework for antibiotic susceptibility prediction in pediatric respiratory diseases
Background Antibiotic susceptibility prediction is important because of the risks of failing to respond to antibiotics and the risk of antimicrobial resistance when treating respiratory diseases in children. Machine learning models can represent complex relationships among clinical and microbiological data; however, th...