Prediction of Antibiotic Resistance in Patients With a Urinary Tract Infection: Algorithm Development and Validation.

Nevruz İlhanlı Se Yoon Park Jaewoong Kim Jee An Ryu Ahmet Yardımcı Dukyong Yoon

Published in: JMIR medical informatics (2024)

The study results demonstrated the potential of machine learning to predict antibiotic resistance in patients with a UTI. Machine learning can assist clinicians in making decisions regarding the selection of appropriate antibiotic therapy in patients with a UTI.

Keyphrases

urinary tract infection
machine learning
artificial intelligence
big data
deep learning
palliative care
risk assessment
cell therapy