Robust and Accurate Modeling Approaches for Migraine Per-Patient Prediction from Ambulatory Data

Robust and Accurate Modeling Approaches for Migraine Per-Patient Prediction from Ambulatory Data

Migraine is one of the most wide-spread neurological disorders, and its medical treatment represents a high percentage of the costs of health systems. In some patients, characteristic symptoms that precede the headache appear. However, they are nonspecific, and their prediction horizon is unknown an...

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Bibliographic Details
Main Authors: Josué Pagán, M. Irene De Orbe, Ana Gago, Mónica Sobrado, José L. Risco-Martín, J. Vivancos Mora, José M. Moya, José L. Ayala
Format: Article
Language:English
Published: MDPI AG 2015-06-01
Series:Sensors
Subjects:
migraine
WBSN
modeling
N4SID
prediction
robustness
Online Access:http://www.mdpi.com/1424-8220/15/7/15419

Internet

http://www.mdpi.com/1424-8220/15/7/15419

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