Machine Learning Increases Diagnosticity in Psychometric Evaluation of Alexithymia in Fibromyalgia

Machine Learning Increases Diagnosticity in Psychometric Evaluation of Alexithymia in Fibromyalgia

Here, we report an investigation on the accuracy of the Toronto Alexithymia Scale, a measure to assess alexithymia, a multidimensional construct often associate to fibromyalgia. Two groups of participants, patients with fibromyalgia (n = 38), healthy controls (n = 38) were administered the Toronto A...

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Bibliographic Details
Main Authors: Graziella Orrù, Angelo Gemignani, Rebecca Ciacchini, Laura Bazzichi, Ciro Conversano
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Medicine
Subjects:
alexithymia
chronic conditions
fibromyalgia
machine learning
experiment
Online Access:https://www.frontiersin.org/article/10.3389/fmed.2019.00319/full

Internet

https://www.frontiersin.org/article/10.3389/fmed.2019.00319/full

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