Machine-Learning Points at Endoscopic, Quality of Life, and Olfactory Parameters as Outcome Criteria for Endoscopic Paranasal Sinus Surgery in Chronic Rhinosinusitis

Machine-Learning Points at Endoscopic, Quality of Life, and Olfactory Parameters as Outcome Criteria for Endoscopic Paranasal Sinus Surgery in Chronic Rhinosinusitis

Chronic rhinosinusitis (CRS) is often treated by functional endoscopic paranasal sinus surgery, which improves endoscopic parameters and quality of life, while olfactory function was suggested as a further criterion of treatment success. In a prospective cohort study, 37 parameters from four categor...

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Bibliographic Details
Main Authors: Jörn Lötsch, Constantin A. Hintschich, Petros Petridis, Jürgen Pade, Thomas Hummel
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Journal of Clinical Medicine
Subjects:
otorhinolaryngology
human olfaction
machine learning
data science
patients
Online Access:https://www.mdpi.com/2077-0383/10/18/4245

Internet

https://www.mdpi.com/2077-0383/10/18/4245

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