Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke.

Journal: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
PMID: 30077601

Abstract

BACKGROUND: The objective of this study was to investigate, in subject with stroke, the exact role as prognostic factor of common inflammatory biomarkers and other markers in predicting motor and/or cognitive improvement after rehabilitation treatment from early stage of stroke.

Authors

  • Patrizio Sale
    Department of NeuroRehabilitation, IRCCS San Raffaele Pisana, Rome, Italy. patrizio.sale@gmail.com.
  • Giorgio Ferriero
    Department of Physical Medicine and Rehabilitation, Scientific Institute of Lissone, IRCCS, Istituti Clinici Scientifici Maugeri, Lissone MB, Italy. Electronic address: giorgio.ferriero@fsm.it.
  • Lucio Ciabattoni
    Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy. Electronic address: l.ciabattoni@univpm.it.
  • Anna Maria Cortese
    San Camillo Hospital IRCCS, Venice, Italy. Electronic address: annamaria.cortese@ospedalesancamillo.net.
  • Francesco Ferracuti
    Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy. Electronic address: f.ferracuti@univpm.it.
  • Luca Romeo
    Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy. Electronic address: l.romeo@univpm.it.
  • Francesco Piccione
    Department of Neurorehabilitation, I.R.C.C.S. San Camillo Hospital, via Alberoni 70, 30126, Venice, Italy.
  • Stefano Masiero
    Rehabilitation Unit, Department of Neurosciences, University of Padova, via Giustiniani 1, 35128 Padova, Italy.

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