Steffen Steinert, Verena Ruf, David Dzsotjan, Nicolas Großmann, Albrecht Schmidt, Jochen Kuhn, Stefan Küchemann
A refined approach for evaluating small datasets via binary classification using machine learning
PloS one
data otoneurologic audiologic vestibulometric research analyzed adult child patients suffering acute otitis media focus probable spread inflammatory nonpurulent process inner ear brain combination available printed data research 20102021 yy presented following analysis identified symptoms acute stage otitis media main pathognomonic signs development otogenic encephalopathy kids adults defined essential attention paid comparative analysis cochleovestibular analyzer state patients suffering purulent viral otitis media well comparison state inflamed ear intact side analysis carried based traditional diagnostics methods enables medical practitioners timely diagnose adverse signs acute otitis media determine risk level improve treatment tactics