Fluorescence optical imaging feature selection with machine learning for differential diagnosis of selected rheumatic diseases

Fluorescence optical imaging feature selection with machine learning for differential diagnosis of selected rheumatic diseases

Background and objectiveAccurate and fast diagnosis of rheumatic diseases affecting the hands is essential for further treatment decisions. Fluorescence optical imaging (FOI) visualizes inflammation-induced impaired microcirculation by increasing signal intensity, resulting in different image featur...

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Bibliographic Details
Main Authors: Felix Rothe, Jörn Berger, Pia Welker, Richard Fiebelkorn, Stefan Kupper, Denise Kiesel, Egbert Gedat, Sarah Ohrndorf
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Medicine
Subjects:
rheumatoid arthritis
osteoarthritis
connective tissue diseases
gradient boosting machine
forward selection algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1228833/full

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