Cargando…
Sorting of Odor Dilutions Is a Meaningful Addition to Assessments of Olfactory Function as Suggested by Machine-Learning-Based Analyses
Background: The categorization of individuals as normosmic, hyposmic, or anosmic from test results of odor threshold, discrimination, and identification may provide a limited view of the sense of smell. The purpose of this study was to expand the clinical diagnostic repertoire by including additiona...
Autores principales: | Lötsch, Jörn, Huster, Anne, Hummel, Thomas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317381/ https://www.ncbi.nlm.nih.gov/pubmed/35887775 http://dx.doi.org/10.3390/jcm11144012 |
Ejemplares similares
-
A machine-learned analysis suggests non-redundant diagnostic information in olfactory subtests
por: Lötsch, Jörn, et al.
Publicado: (2019) -
Machine Learning in Human Olfactory Research
por: Lötsch, Jörn, et al.
Publicado: (2019) -
Machine-learned pattern identification in olfactory subtest results
por: Lötsch, Jörn, et al.
Publicado: (2016) -
Data-science based analysis of perceptual spaces of odors in olfactory loss
por: Lötsch, Jörn, et al.
Publicado: (2021) -
Machine-Learning Points at Endoscopic, Quality of Life, and Olfactory Parameters as Outcome Criteria for Endoscopic Paranasal Sinus Surgery in Chronic Rhinosinusitis
por: Lötsch, Jörn, et al.
Publicado: (2021)