Classification algorithms with multi-modal data fusion could accurately distinguish neuromyelitis optica from multiple sclerosis

Classification algorithms with multi-modal data fusion could accurately distinguish neuromyelitis optica from multiple sclerosis

Neuromyelitis optica (NMO) exhibits substantial similarities to multiple sclerosis (MS) in clinical manifestations and imaging results and has long been considered a variant of MS. With the advent of a specific biomarker in NMO, known as anti-aquaporin 4, this assumption has changed; however, the di...

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Bibliographic Details
Main Authors: Eshaghi, Arman, Riyahi-Alam, Sadjad, Saeedi, Roghayyeh, Roostaei, Tina, Nazeri, Arash, Aghsaei, Aida, Doosti, Rozita, Ganjgahi, Habib, Bodini, Benedetta, Shakourirad, Ali, Pakravan, Manijeh, Ghana'ati, Hossein, Firouznia, Kavous, Zarei, Mojtaba, Azimi, Amir Reza, Sahraian, Mohammad Ali
Format: Online
Language:English
Published: Elsevier 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4297886/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4297886/

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