Learning Using Concave and Convex Kernels: Applications in Predicting Quality of Sleep and Level of Fatigue in Fibromyalgia

Learning Using Concave and Convex Kernels: Applications in Predicting Quality of Sleep and Level of Fatigue in Fibromyalgia

Fibromyalgia is a medical condition characterized by widespread muscle pain and tenderness and is often accompanied by fatigue and alteration in sleep, mood, and memory. Poor sleep quality and fatigue, as prominent characteristics of fibromyalgia, have a direct impact on patient behavior and quality...

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Bibliographic Details
Main Authors: Elyas Sabeti, Jonathan Gryak, Harm Derksen, Craig Biwer, Sardar Ansari, Howard Isenstein, Anna Kratz, Kayvan Najarian
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Entropy
Subjects:
fibromyalgia
Learning Using Concave and Convex Kernels
Empatica E4
self-reported survey
Online Access:https://www.mdpi.com/1099-4300/21/5/442

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