Title
Automated diagnosis of otitis media: vocabulary and grammar.
Abstract
WE PROPOSE A NOVEL AUTOMATED ALGORITHM FOR CLASSIFYING DIAGNOSTIC CATEGORIES OF OTITIS MEDIA: acute otitis media, otitis media with effusion, and no effusion. Acute otitis media represents a bacterial superinfection of the middle ear fluid, while otitis media with effusion represents a sterile effusion that tends to subside spontaneously. Diagnosing children with acute otitis media is difficult, often leading to overprescription of antibiotics as they are beneficial only for children with acute otitis media. This underscores the need for an accurate and automated diagnostic algorithm. To that end, we design a feature set understood by both otoscopists and engineers based on the actual visual cues used by otoscopists; we term this the otitis media vocabulary. We also design a process to combine the vocabulary terms based on the decision process used by otoscopists; we term this the otitis media grammar. The algorithm achieves 89.9% classification accuracy, outperforming both clinicians who did not receive special training and state-of-the-art classifiers.
Year
DOI
Venue
2013
10.1155/2013/327515
Int. J. Biomedical Imaging
Keywords
Field
DocType
otitis media vocabulary,acute otitis media,decision process,otitis media grammar,diagnostic category,automated diagnostic algorithm,otitis media,automated diagnosis,vocabulary term,novel automated algorithm,sterile effusion,biomedical research,bioinformatics
Middle ear fluid,Grammar,Feature set,Otitis,Acute otitis media,Audiology,Decision process,Vocabulary,Medicine
Journal
Volume
ISSN
Citations 
2013
1687-4188
6
PageRank 
References 
Authors
0.95
30
4
Name
Order
Citations
PageRank
Anupama Kuruvilla181.35
Nader Shaikh281.69
Alejandro Hoberman381.69
Jelena Kovacevic480295.87