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Progress and optimisation in the automated diagnosis and treatment recommendations for ENT diseases with the new machine learning system AURI 2.0
0
Zitationen
4
Autoren
2024
Jahr
Abstract
Introduction The integration of machine learning in medical diagnostics and treatment has brought significant advances in the healthcare sector. AURI 2.0 utilizes supervised machine learning and a Bayesian network to provide diagnostic and treatment recommendations for ENT disorders based on patient-reported symptoms. In this study, the progress of the machine learning system AURI in the new 2.0 version is analyzed.
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