Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data

Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data

<b>Background:</b> Dry eye disease is a common disorder of the ocular surface, leading patients to seek eye care. Clinical signs and symptoms are currently used to diagnose dry eye disease. Metabolomics, a method for analyzing biological systems, has been found helpful in identifying dis...

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Main Authors: Sajad Amouei Sheshkal, Morten Gundersen, Michael Alexander Riegler, Øygunn Aass Utheim, Kjell Gunnar Gundersen, Helge Rootwelt, Katja Benedikte Prestø Elgstøen, Hugo Lewi Hammer
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Diagnostics
Subjects:
machine learning
classification
hyper-parameters tuning
dry eye disease
metabolomics
Online Access:https://www.mdpi.com/2075-4418/14/23/2696
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https://www.mdpi.com/2075-4418/14/23/2696

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