… who did not actually have AOM but instead had otitis media with effusion (OME) in … otitis
media, we aimed 1) to determine the relative importance of signs and symptoms in the diagnosis …

… Among them, 214 images diagnosed of acute otitis media (AOM) and otitis media with
effusion (OME) are used as the database for image classification in this study. For the OM image …

… The example feature vectors were subsequently used to manually design the decision tree,
which constituted the classification algorithm employed in this study. No additional training …

… novel automated algorithm for classifying diagnostic categories of otitis media: acute …
diagnostic categories of otitis media or its absence that are provided by our automated otitis media …

… in diagnostics and treatment of acute otitis media among GPs … diagnostics were not improved
by use of an ear microscope. The algorithm identified most patients with acute otitis media. …

… Feature-extractions-based algorithms for automatic diagnosis of ear diseases have been …
classifier architecture algorithm was trained. Diagnostic performance of the algorithm was …

… order to obtain a precise diagnosis of otitis media. An additional … Moreover, the condition of
normality or the diagnosis of an … case represents the gold standard to verify clinical diagnosis. …

… physicians in the United States for otitis media, with 809 antibacterial prescriptions per 1000
… otitis media-related antibacterials. Although the total number of office visits for otitis media …

… In conclusion, the last decade has seen a rise in the number of ML advances and automated
computer algorithms to help diagnose OM. Even though the bulk of the current literature is …

… experience in diagnosing the different otitis medias. In this … automated diagnosis of middle
ear pathology, or otitis media, … automated otitis media classification or diagnosis algorithm …