Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal (123)I-FP-CIT indices

OBJECTIVES: To provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative (123)I-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis. METHODS: (123)I-FP-CIT SPECT was performed at a single-center level on 370 individuals with...

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Detalles Bibliográficos
Autores principales: Nicastro, Nicolas, Wegrzyk, Jennifer, Preti, Maria Giulia, Fleury, Vanessa, Van de Ville, Dimitri, Garibotto, Valentina, Burkhard, Pierre R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Original Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586917/
https://www.ncbi.nlm.nih.gov/pubmed/31037416
http://dx.doi.org/10.1007/s00415-019-09330-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586917/
https://www.ncbi.nlm.nih.gov/pubmed/31037416
http://dx.doi.org/10.1007/s00415-019-09330-z

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